Overview

Dataset statistics

Number of variables139
Number of observations130
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory141.3 KiB
Average record size in memory1.1 KiB

Variable types

NUM125
CAT8
BOOL6

Warnings

totalFieldsQty_median has constant value "130" Constant
protectedMethodsQty_median has constant value "130" Constant
df_index has unique values Unique
privateMethodsQty_average has 3 (2.3%) zeros Zeros
privateMethodsQty_stdev has 3 (2.3%) zeros Zeros
privateMethodsQty_max has 3 (2.3%) zeros Zeros
parenthesizedExpsQty_average has 6 (4.6%) zeros Zeros
parenthesizedExpsQty_stdev has 6 (4.6%) zeros Zeros
parenthesizedExpsQty_max has 6 (4.6%) zeros Zeros
stringLiteralsQty_median has 67 (51.5%) zeros Zeros
assignmentsQty_median has 25 (19.2%) zeros Zeros
privateFieldsQty_average has 10 (7.7%) zeros Zeros
privateFieldsQty_max has 10 (7.7%) zeros Zeros
synchronizedMethodsQty_sum has 24 (18.5%) zeros Zeros
synchronizedMethodsQty_average has 24 (18.5%) zeros Zeros
synchronizedMethodsQty_stdev has 24 (18.5%) zeros Zeros
synchronizedMethodsQty_max has 24 (18.5%) zeros Zeros
totalFieldsQty_sum has 45 (34.6%) zeros Zeros
totalFieldsQty_stdev has 45 (34.6%) zeros Zeros
totalFieldsQty_max has 45 (34.6%) zeros Zeros
defaultMethodsQty_average has 6 (4.6%) zeros Zeros
defaultMethodsQty_max has 6 (4.6%) zeros Zeros
totalMethodsQty_median has 2 (1.5%) zeros Zeros
dit_average has 3 (2.3%) zeros Zeros
dit_stdev has 3 (2.3%) zeros Zeros
dit_max has 3 (2.3%) zeros Zeros
lcc_sum has 2 (1.5%) zeros Zeros
lcc_stdev has 18 (13.8%) zeros Zeros
staticFieldsQty_median has 74 (56.9%) zeros Zeros
returnQty_median has 42 (32.3%) zeros Zeros
logStatementsQty_stdev has 37 (28.5%) zeros Zeros
logStatementsQty_max has 37 (28.5%) zeros Zeros
mathOperationsQty_stdev has 2 (1.5%) zeros Zeros
mathOperationsQty_max has 2 (1.5%) zeros Zeros
publicMethodsQty_median has 10 (7.7%) zeros Zeros
numbersQty_median has 94 (72.3%) zeros Zeros
cbo_median has 5 (3.8%) zeros Zeros
cbo_max has 5 (3.8%) zeros Zeros
finalMethodsQty_stdev has 21 (16.2%) zeros Zeros
finalMethodsQty_max has 21 (16.2%) zeros Zeros
rfc_median has 22 (16.9%) zeros Zeros
visibleFieldsQty_sum has 12 (9.2%) zeros Zeros
visibleFieldsQty_average has 12 (9.2%) zeros Zeros
visibleFieldsQty_stdev has 12 (9.2%) zeros Zeros
visibleFieldsQty_max has 12 (9.2%) zeros Zeros
innerClassesQty_average has 5 (3.8%) zeros Zeros
innerClassesQty_stdev has 5 (3.8%) zeros Zeros
innerClassesQty_max has 5 (3.8%) zeros Zeros
nosi_median has 98 (75.4%) zeros Zeros
tryCatchQty_sum has 2 (1.5%) zeros Zeros
tryCatchQty_average has 2 (1.5%) zeros Zeros
tryCatchQty_stdev has 2 (1.5%) zeros Zeros
tryCatchQty_max has 2 (1.5%) zeros Zeros
maxNestedBlocksQty_median has 89 (68.5%) zeros Zeros
lambdasQty_average has 95 (73.1%) zeros Zeros
lambdasQty_max has 95 (73.1%) zeros Zeros
lcom_stdev has 2 (1.5%) zeros Zeros
lcom_median has 90 (69.2%) zeros Zeros
protectedMethodsQty_average has 10 (7.7%) zeros Zeros
protectedMethodsQty_stdev has 10 (7.7%) zeros Zeros
protectedMethodsQty_max has 10 (7.7%) zeros Zeros
anonymousClassesQty_average has 11 (8.5%) zeros Zeros
anonymousClassesQty_stdev has 11 (8.5%) zeros Zeros
anonymousClassesQty_max has 11 (8.5%) zeros Zeros
protectedFieldsQty_median has 112 (86.2%) zeros Zeros
comparisonsQty_median has 116 (89.2%) zeros Zeros
modifiers_stdev has 4 (3.1%) zeros Zeros
modifiers_median has 5 (3.8%) zeros Zeros
modifiers_max has 5 (3.8%) zeros Zeros
defaultFieldsQty_average has 27 (20.8%) zeros Zeros
defaultFieldsQty_max has 27 (20.8%) zeros Zeros
loopQty_average has 2 (1.5%) zeros Zeros
loopQty_stdev has 2 (1.5%) zeros Zeros
loopQty_median has 124 (95.4%) zeros Zeros
loopQty_max has 2 (1.5%) zeros Zeros
finalFieldsQty_median has 118 (90.8%) zeros Zeros
maven_reuse has 3 (2.3%) zeros Zeros

Reproduction

Analysis started2020-10-13 01:31:02.492956
Analysis finished2020-10-13 01:31:04.415133
Duration1.92 second
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

UNIQUE

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.55384615
Minimum0
Maximum150
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:04.651698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.45
Q134.25
median75
Q3110.75
95-th percentile142.55
Maximum150
Range150
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation44.56996269
Coefficient of variation (CV)0.6059501307
Kurtosis-1.254254616
Mean73.55384615
Median Absolute Deviation (MAD)38
Skewness0.02470087726
Sum9562
Variance1986.481574
MonotocityStrictly increasing
2020-10-13T12:31:04.965437image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15010.8%
 
3410.8%
 
3710.8%
 
3810.8%
 
3910.8%
 
4010.8%
 
4110.8%
 
4210.8%
 
4410.8%
 
4510.8%
 
Other values (120)12092.3%
 
ValueCountFrequency (%) 
010.8%
 
110.8%
 
210.8%
 
310.8%
 
410.8%
 
ValueCountFrequency (%) 
15010.8%
 
14810.8%
 
14710.8%
 
14610.8%
 
14510.8%
 

privateMethodsQty_average
Real number (ℝ≥0)

ZEROS

Distinct114
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1546857465
Minimum0
Maximum0.925
Zeros3
Zeros (%)2.3%
Memory size1.0 KiB
2020-10-13T12:31:05.198524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02408334026
Q10.08418570035
median0.1186309954
Q30.1985408069
95-th percentile0.3593843284
Maximum0.925
Range0.925
Interquartile range (IQR)0.1143551065

Descriptive statistics

Standard deviation0.1275250774
Coefficient of variation (CV)0.8244138858
Kurtosis11.50833905
Mean0.1546857465
Median Absolute Deviation (MAD)0.05352468213
Skewness2.695890443
Sum20.10914705
Variance0.01626264536
MonotocityNot monotonic
2020-10-13T12:31:05.427590image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.108901758943.1%
 
0.0838862559243.1%
 
0.126977687632.3%
 
032.3%
 
0.0910714285721.5%
 
0.249814502521.5%
 
0.321.5%
 
0.113414634121.5%
 
0.108942740721.5%
 
0.118427039321.5%
 
Other values (104)10480.0%
 
ValueCountFrequency (%) 
032.3%
 
0.0111111111110.8%
 
0.0161290322610.8%
 
0.0224184782610.8%
 
0.0232142857110.8%
 
ValueCountFrequency (%) 
0.92510.8%
 
0.661224489810.8%
 
0.529746835410.8%
 
0.4810.8%
 
0.435135135110.8%
 

privateMethodsQty_stdev
Real number (ℝ≥0)

ZEROS

Distinct115
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3021364422
Minimum0
Maximum1
Zeros3
Zeros (%)2.3%
Memory size1.0 KiB
2020-10-13T12:31:05.665097image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0659785907
Q10.1819512296
median0.2701470579
Q30.3731738691
95-th percentile0.6640678626
Maximum1
Range1
Interquartile range (IQR)0.1912226395

Descriptive statistics

Standard deviation0.1913556066
Coefficient of variation (CV)0.6333416956
Kurtosis2.823630443
Mean0.3021364422
Median Absolute Deviation (MAD)0.09642908625
Skewness1.434618664
Sum39.27773749
Variance0.03661696819
MonotocityNot monotonic
2020-10-13T12:31:05.894340image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.241311050543.1%
 
0.287173327543.1%
 
032.3%
 
0.267282636732.3%
 
0.25883881521.5%
 
0.241870255921.5%
 
0.379679154921.5%
 
0.1838948221.5%
 
0.332822538321.5%
 
0.373675029110.8%
 
Other values (105)10580.8%
 
ValueCountFrequency (%) 
032.3%
 
0.033502565610.8%
 
0.0529622679510.8%
 
0.0602126197710.8%
 
0.0645192123410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.953634472310.8%
 
0.953109133910.8%
 
0.871706245510.8%
 
0.827440296610.8%
 
Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
127 
0.4
 
2
0.2
 
1
ValueCountFrequency (%) 
012797.7%
 
0.421.5%
 
0.210.8%
 
2020-10-13T12:31:06.112414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.8%

privateMethodsQty_max
Real number (ℝ≥0)

ZEROS

Distinct47
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2151648352
Minimum0
Maximum1
Zeros3
Zeros (%)2.3%
Memory size1.0 KiB
2020-10-13T12:31:06.312512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01904761905
Q10.06666666667
median0.1666666667
Q30.3023809524
95-th percentile0.5438095238
Maximum1
Range1
Interquartile range (IQR)0.2357142857

Descriptive statistics

Standard deviation0.1943377349
Coefficient of variation (CV)0.9032039773
Kurtosis3.195314662
Mean0.2151648352
Median Absolute Deviation (MAD)0.1047619048
Skewness1.581944213
Sum27.97142857
Variance0.0377671552
MonotocityNot monotonic
2020-10-13T12:31:06.542157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%) 
0.457142857186.2%
 
0.0666666666775.4%
 
0.0571428571475.4%
 
0.0761904761964.6%
 
0.18095238164.6%
 
0.21904761953.8%
 
0.0190476190553.8%
 
0.0857142857143.1%
 
0.142857142943.1%
 
0.038095238143.1%
 
Other values (37)7456.9%
 
ValueCountFrequency (%) 
032.3%
 
0.00952380952421.5%
 
0.0190476190553.8%
 
0.0285714285732.3%
 
0.038095238143.1%
 
ValueCountFrequency (%) 
121.5%
 
0.838095238110.8%
 
0.628571428610.8%
 
0.58095238110.8%
 
0.561904761910.8%
 

publicFieldsQty_average
Real number (ℝ≥0)

Distinct116
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1363937877
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:06.768456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01862330799
Q10.05827695217
median0.09065317318
Q30.1742037882
95-th percentile0.3932954545
Maximum1
Range1
Interquartile range (IQR)0.1159268361

Descriptive statistics

Standard deviation0.1450799179
Coefficient of variation (CV)1.063684207
Kurtosis12.25764196
Mean0.1363937877
Median Absolute Deviation (MAD)0.04711067781
Skewness3.032427311
Sum17.7311924
Variance0.02104818259
MonotocityNot monotonic
2020-10-13T12:31:06.993699image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0635050635143.1%
 
0.122253339143.1%
 
0.0437949474532.3%
 
0.0582769521721.5%
 
0.0899516226621.5%
 
0.181818181821.5%
 
0.0636701564221.5%
 
0.186688311721.5%
 
0.172543308321.5%
 
0.0777511961710.8%
 
Other values (106)10681.5%
 
ValueCountFrequency (%) 
010.8%
 
0.00281743050310.8%
 
0.00977517106510.8%
 
0.010101010110.8%
 
0.0136363636410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.724971231310.8%
 
0.649350649410.8%
 
0.611801707410.8%
 
0.46650717710.8%
 
Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
126 
1
 
2
0.5
 
2
ValueCountFrequency (%) 
012696.9%
 
121.5%
 
0.521.5%
 
2020-10-13T12:31:07.206657image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

parenthesizedExpsQty_average
Real number (ℝ≥0)

ZEROS

Distinct111
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08950307495
Minimum0
Maximum1
Zeros6
Zeros (%)4.6%
Memory size1.0 KiB
2020-10-13T12:31:07.412341image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001214782029
Q10.0154923277
median0.03516767953
Q30.105209731
95-th percentile0.279099712
Maximum1
Range1
Interquartile range (IQR)0.08971740326

Descriptive statistics

Standard deviation0.1544640154
Coefficient of variation (CV)1.725795628
Kurtosis17.35974192
Mean0.08950307495
Median Absolute Deviation (MAD)0.02723298914
Skewness3.883164459
Sum11.63539974
Variance0.02385913207
MonotocityNot monotonic
2020-10-13T12:31:07.653274image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
064.6%
 
0.16239197143.1%
 
0.0388466197343.1%
 
0.00288350634432.3%
 
0.00459558823521.5%
 
0.217066759321.5%
 
0.0355579345821.5%
 
0.0391326378321.5%
 
0.0997899159721.5%
 
0.0307323594621.5%
 
Other values (101)10177.7%
 
ValueCountFrequency (%) 
064.6%
 
0.00109461260210.8%
 
0.00136165577310.8%
 
0.00196078431410.8%
 
0.00269832703710.8%
 
ValueCountFrequency (%) 
110.8%
 
0.838235294110.8%
 
0.811615785610.8%
 
0.705882352910.8%
 
0.344427244610.8%
 

parenthesizedExpsQty_stdev
Real number (ℝ≥0)

ZEROS

Distinct112
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1422946213
Minimum0
Maximum1
Zeros6
Zeros (%)4.6%
Memory size1.0 KiB
2020-10-13T12:31:07.887097image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004552992327
Q10.02918703292
median0.06185493308
Q30.1444986375
95-th percentile0.6402725357
Maximum1
Range1
Interquartile range (IQR)0.1153116046

Descriptive statistics

Standard deviation0.2000456855
Coefficient of variation (CV)1.405855566
Kurtosis4.269344249
Mean0.1422946213
Median Absolute Deviation (MAD)0.04408387626
Skewness2.162611201
Sum18.49830077
Variance0.04001827628
MonotocityNot monotonic
2020-10-13T12:31:08.279144image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
064.6%
 
0.0649463642843.1%
 
0.640272535743.1%
 
0.00963242342232.3%
 
0.0618549330821.5%
 
0.248792479121.5%
 
0.0652566850421.5%
 
0.06386181121.5%
 
0.334853546521.5%
 
0.00579123132610.8%
 
Other values (102)10278.5%
 
ValueCountFrequency (%) 
064.6%
 
0.00396265865910.8%
 
0.00527451125510.8%
 
0.00579123132610.8%
 
0.00677904874410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.820941996510.8%
 
0.755950125210.8%
 
0.710180958810.8%
 
0.661906409910.8%
 
Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
125 
0.5
 
3
0.25
 
1
1
 
1
ValueCountFrequency (%) 
012596.2%
 
0.532.3%
 
0.2510.8%
 
110.8%
 
2020-10-13T12:31:08.501676image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)1.5%

parenthesizedExpsQty_max
Real number (ℝ≥0)

ZEROS

Distinct68
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1642882818
Minimum0
Maximum1
Zeros6
Zeros (%)4.6%
Memory size1.0 KiB
2020-10-13T12:31:08.700896image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003387850467
Q10.02102803738
median0.07126168224
Q30.1588785047
95-th percentile0.8424065421
Maximum1
Range1
Interquartile range (IQR)0.1378504673

Descriptive statistics

Standard deviation0.2480030102
Coefficient of variation (CV)1.509559948
Kurtosis4.826113282
Mean0.1642882818
Median Absolute Deviation (MAD)0.06308411215
Skewness2.353849949
Sum21.35747664
Variance0.06150549307
MonotocityNot monotonic
2020-10-13T12:31:08.928254image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.1588785047107.7%
 
0.00467289719675.4%
 
164.6%
 
064.6%
 
0.00934579439364.6%
 
0.0887850467353.8%
 
0.0210280373853.8%
 
0.00700934579443.1%
 
0.149532710332.3%
 
0.0186915887932.3%
 
Other values (58)7557.7%
 
ValueCountFrequency (%) 
064.6%
 
0.00233644859810.8%
 
0.00467289719675.4%
 
0.00700934579443.1%
 
0.00934579439364.6%
 
ValueCountFrequency (%) 
164.6%
 
0.843457943910.8%
 
0.841121495310.8%
 
0.771028037410.8%
 
0.637850467310.8%
 

stringLiteralsQty_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07335624105
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:09.153147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.007935909894
Q10.01957342984
median0.03929177041
Q30.08807012036
95-th percentile0.254304043
Maximum1
Range1
Interquartile range (IQR)0.06849669051

Descriptive statistics

Standard deviation0.1154029023
Coefficient of variation (CV)1.573184512
Kurtosis34.48308705
Mean0.07335624105
Median Absolute Deviation (MAD)0.02301082233
Skewness5.106706588
Sum9.536311337
Variance0.01331782986
MonotocityNot monotonic
2020-10-13T12:31:09.385717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.104606264143.1%
 
0.0206991131543.1%
 
0.289187916432.3%
 
0.0495261667121.5%
 
0.104910279321.5%
 
0.0727683368721.5%
 
0.0107876265821.5%
 
0.0244548534721.5%
 
0.00704663272110.8%
 
0.0936622275910.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00355059192910.8%
 
0.00372156697810.8%
 
0.00640813664710.8%
 
0.00663395761810.8%
 
ValueCountFrequency (%) 
110.8%
 
0.558467255610.8%
 
0.43136973410.8%
 
0.302683586610.8%
 
0.289187916432.3%
 

stringLiteralsQty_median
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1326923077
Minimum0
Maximum0.8333333333
Zeros67
Zeros (%)51.5%
Memory size1.0 KiB
2020-10-13T12:31:09.583841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1666666667
95-th percentile0.5
Maximum0.8333333333
Range0.8333333333
Interquartile range (IQR)0.1666666667

Descriptive statistics

Standard deviation0.1769125081
Coefficient of variation (CV)1.333253684
Kurtosis2.343642817
Mean0.1326923077
Median Absolute Deviation (MAD)0
Skewness1.555937485
Sum17.25
Variance0.03129803551
MonotocityNot monotonic
2020-10-13T12:31:09.738355image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
06751.5%
 
0.16666666673728.5%
 
0.3333333333129.2%
 
0.575.4%
 
0.666666666732.3%
 
0.2532.3%
 
0.833333333310.8%
 
ValueCountFrequency (%) 
06751.5%
 
0.16666666673728.5%
 
0.2532.3%
 
0.3333333333129.2%
 
0.575.4%
 
ValueCountFrequency (%) 
0.833333333310.8%
 
0.666666666732.3%
 
0.575.4%
 
0.3333333333129.2%
 
0.2532.3%
 

stringLiteralsQty_max
Real number (ℝ≥0)

Distinct90
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1255115962
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:09.935871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004911323329
Q10.01323328786
median0.03888130969
Q30.1413369714
95-th percentile0.5372442019
Maximum1
Range1
Interquartile range (IQR)0.1281036835

Descriptive statistics

Standard deviation0.1877162378
Coefficient of variation (CV)1.49560872
Kurtosis4.863996732
Mean0.1255115962
Median Absolute Deviation (MAD)0.03246930423
Skewness2.19406707
Sum16.3165075
Variance0.03523738592
MonotocityNot monotonic
2020-10-13T12:31:10.167556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.537244201986.2%
 
0.00545702592164.6%
 
0.27285129653.8%
 
0.0368349249743.1%
 
0.00709413369732.3%
 
0.00491132332932.3%
 
0.541882673932.3%
 
0.142701227821.5%
 
0.0635743519821.5%
 
0.0100954979521.5%
 
Other values (80)9270.8%
 
ValueCountFrequency (%) 
010.8%
 
0.000818553888110.8%
 
0.0013642564810.8%
 
0.00300136425610.8%
 
0.00327421555310.8%
 
ValueCountFrequency (%) 
110.8%
 
0.836016371110.8%
 
0.541882673932.3%
 
0.537244201986.2%
 
0.526603001410.8%
 

assignmentsQty_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.109926459
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:10.390803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.009248592551
Q10.04554834626
median0.08268905156
Q30.1142322322
95-th percentile0.3165763219
Maximum1
Range1
Interquartile range (IQR)0.06868388592

Descriptive statistics

Standard deviation0.1353875913
Coefficient of variation (CV)1.231619689
Kurtosis18.03357191
Mean0.109926459
Median Absolute Deviation (MAD)0.03571015113
Skewness3.759167128
Sum14.29043968
Variance0.01832979988
MonotocityNot monotonic
2020-10-13T12:31:10.621473image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.140844153143.1%
 
0.091511995143.1%
 
0.0324387296532.3%
 
0.0917199010521.5%
 
0.0798553005521.5%
 
0.114642076621.5%
 
0.0963479767221.5%
 
0.0951536488121.5%
 
0.0250225478510.8%
 
0.0903220877510.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00233320269910.8%
 
0.00417217657610.8%
 
0.00779802166210.8%
 
0.00788142539510.8%
 
ValueCountFrequency (%) 
110.8%
 
0.662454960610.8%
 
0.639888367910.8%
 
0.586627420910.8%
 
0.388984232110.8%
 

assignmentsQty_median
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0933048433
Minimum0
Maximum1
Zeros25
Zeros (%)19.2%
Memory size1.0 KiB
2020-10-13T12:31:10.815049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03703703704
median0.03703703704
Q30.1111111111
95-th percentile0.2796296296
Maximum1
Range1
Interquartile range (IQR)0.07407407407

Descriptive statistics

Standard deviation0.1378375145
Coefficient of variation (CV)1.477281453
Kurtosis20.85914052
Mean0.0933048433
Median Absolute Deviation (MAD)0.03703703704
Skewness3.993178388
Sum12.12962963
Variance0.01899918039
MonotocityNot monotonic
2020-10-13T12:31:10.993976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
0.037037037044635.4%
 
02519.2%
 
0.074074074072418.5%
 
0.185185185296.9%
 
0.148148148186.2%
 
0.111111111143.1%
 
0.259259259332.3%
 
0.296296296321.5%
 
0.222222222221.5%
 
0.370370370410.8%
 
Other values (6)64.6%
 
ValueCountFrequency (%) 
02519.2%
 
0.037037037044635.4%
 
0.074074074072418.5%
 
0.111111111143.1%
 
0.148148148186.2%
 
ValueCountFrequency (%) 
110.8%
 
0.851851851910.8%
 
0.481481481510.8%
 
0.46296296310.8%
 
0.370370370410.8%
 

assignmentsQty_max
Real number (ℝ≥0)

Distinct95
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09134229225
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:11.205327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004129016064
Q10.01951556225
median0.04317269076
Q30.1391817269
95-th percentile0.2498870482
Maximum1
Range1
Interquartile range (IQR)0.1196661647

Descriptive statistics

Standard deviation0.1375213892
Coefficient of variation (CV)1.50556096
Kurtosis24.29375074
Mean0.09134229225
Median Absolute Deviation (MAD)0.03200301205
Skewness4.289561006
Sum11.87449799
Variance0.0189121325
MonotocityNot monotonic
2020-10-13T12:31:11.456461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.216867469986.2%
 
0.14056224964.6%
 
0.0373995983943.1%
 
0.0517068273132.3%
 
0.0278614457832.3%
 
0.0384036144632.3%
 
0.0200803212921.5%
 
0.00753012048221.5%
 
0.0105421686721.5%
 
0.0112951807221.5%
 
Other values (85)9573.1%
 
ValueCountFrequency (%) 
010.8%
 
0.00150602409610.8%
 
0.00276104417710.8%
 
0.00301204819310.8%
 
0.00326305220910.8%
 
ValueCountFrequency (%) 
110.8%
 
0.931977911610.8%
 
0.402359437810.8%
 
0.367218875510.8%
 
0.274096385521.5%
 

uniqueWordsQty_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01475242125
Minimum0
Maximum0.07579656784
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:11.705612image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004597328881
Q10.009125877789
median0.01252311645
Q30.01616135293
95-th percentile0.02886308798
Maximum0.07579656784
Range0.07579656784
Interquartile range (IQR)0.00703547514

Descriptive statistics

Standard deviation0.01062572838
Coefficient of variation (CV)0.7202701304
Kurtosis15.94475404
Mean0.01475242125
Median Absolute Deviation (MAD)0.003471024726
Skewness3.386989094
Sum1.917814763
Variance0.0001129061036
MonotocityNot monotonic
2020-10-13T12:31:11.932445image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0147391034843.1%
 
0.0288630879843.1%
 
0.00900155688832.3%
 
0.0138907537621.5%
 
0.0116060752121.5%
 
0.0136763258421.5%
 
0.0245643913521.5%
 
0.0147841883121.5%
 
0.0049324814910.8%
 
0.0122192026110.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00290794963710.8%
 
0.00307712724210.8%
 
0.00318672115710.8%
 
0.00368278962410.8%
 
ValueCountFrequency (%) 
0.0757965678410.8%
 
0.0746583372210.8%
 
0.0526538860710.8%
 
0.0399453138910.8%
 
0.0298523795110.8%
 

uniqueWordsQty_median
Real number (ℝ≥0)

Distinct54
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2013553114
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:12.186093image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01904761905
Q10.1071428571
median0.180952381
Q30.2476190476
95-th percentile0.5473809524
Maximum1
Range1
Interquartile range (IQR)0.1404761905

Descriptive statistics

Standard deviation0.1585091499
Coefficient of variation (CV)0.7872111682
Kurtosis5.401951953
Mean0.2013553114
Median Absolute Deviation (MAD)0.06666666667
Skewness1.916984716
Sum26.17619048
Variance0.0251251506
MonotocityNot monotonic
2020-10-13T12:31:12.423700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.1809523811410.8%
 
0.123809523886.2%
 
0.0190476190575.4%
 
0.247619047675.4%
 
0.190476190564.6%
 
0.0285714285743.1%
 
0.0666666666743.1%
 
0.114285714343.1%
 
0.266666666743.1%
 
0.209523809543.1%
 
Other values (44)6852.3%
 
ValueCountFrequency (%) 
010.8%
 
0.0142857142910.8%
 
0.0190476190575.4%
 
0.0285714285743.1%
 
0.038095238132.3%
 
ValueCountFrequency (%) 
110.8%
 
0.690476190510.8%
 
0.652380952410.8%
 
0.609523809510.8%
 
0.610.8%
 

uniqueWordsQty_max
Real number (ℝ≥0)

Distinct105
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01496726456
Minimum0
Maximum0.1281815725
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:12.660070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00240880843
Q10.006802215617
median0.01206430694
Q30.01838016752
95-th percentile0.0305984869
Maximum0.1281815725
Range0.1281815725
Interquartile range (IQR)0.0115779519

Descriptive statistics

Standard deviation0.01432371741
Coefficient of variation (CV)0.9570030212
Kurtosis30.42896038
Mean0.01496726456
Median Absolute Deviation (MAD)0.005984868954
Skewness4.387365036
Sum1.945744393
Variance0.0002051688804
MonotocityNot monotonic
2020-10-13T12:31:12.903928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0191029451596.9%
 
0.0295325587764.6%
 
0.00870035125632.3%
 
0.0182112942432.3%
 
0.016833288321.5%
 
0.0153201837321.5%
 
0.00232369629821.5%
 
0.0106727911421.5%
 
0.0113753039721.5%
 
0.0292893812521.5%
 
Other values (95)9774.6%
 
ValueCountFrequency (%) 
010.8%
 
0.000864631180810.8%
 
0.00186436098410.8%
 
0.00194542015710.8%
 
0.00216157795210.8%
 
ValueCountFrequency (%) 
0.128181572510.8%
 
0.0622264252910.8%
 
0.0550661983210.8%
 
0.0387462847910.8%
 
0.0348014050310.8%
 

privateFieldsQty_average
Real number (ℝ≥0)

ZEROS

Distinct107
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1531974413
Minimum0
Maximum1
Zeros10
Zeros (%)7.7%
Memory size1.0 KiB
2020-10-13T12:31:13.337165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.05241889782
median0.09009140424
Q30.2210713696
95-th percentile0.4980685843
Maximum1
Range1
Interquartile range (IQR)0.1686524718

Descriptive statistics

Standard deviation0.1658070183
Coefficient of variation (CV)1.082309319
Kurtosis7.186866915
Mean0.1531974413
Median Absolute Deviation (MAD)0.06709451437
Skewness2.300227819
Sum19.91566737
Variance0.02749196733
MonotocityNot monotonic
2020-10-13T12:31:13.573795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0107.7%
 
0.0697549775243.1%
 
0.0812505490243.1%
 
0.0202851691932.3%
 
0.267872903832.3%
 
0.124730176921.5%
 
0.234354911421.5%
 
0.0900164389121.5%
 
0.0694336370821.5%
 
0.0475514030410.8%
 
Other values (97)9774.6%
 
ValueCountFrequency (%) 
0107.7%
 
0.00558068549610.8%
 
0.00622960241410.8%
 
0.0103028039910.8%
 
0.0107149161510.8%
 
ValueCountFrequency (%) 
110.8%
 
0.857193292110.8%
 
0.690516818710.8%
 
0.515401030110.8%
 
0.512564498610.8%
 
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
129 
1
 
1
ValueCountFrequency (%) 
012999.2%
 
110.8%
 

privateFieldsQty_max
Real number (ℝ≥0)

ZEROS

Distinct44
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04454615385
Minimum0
Maximum1
Zeros10
Zeros (%)7.7%
Memory size1.0 KiB
2020-10-13T12:31:13.799654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.004
median0.011
Q30.037
95-th percentile0.07785
Maximum1
Range1
Interquartile range (IQR)0.033

Descriptive statistics

Standard deviation0.1459439263
Coefficient of variation (CV)3.276240792
Kurtosis36.91759969
Mean0.04454615385
Median Absolute Deviation (MAD)0.009
Skewness6.071980883
Sum5.791
Variance0.02129962964
MonotocityNot monotonic
2020-10-13T12:31:14.017204image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%) 
0107.7%
 
0.002107.7%
 
0.018107.7%
 
0.06796.9%
 
0.00696.9%
 
0.00786.2%
 
0.00464.6%
 
0.00153.8%
 
0.01153.8%
 
0.0453.8%
 
Other values (34)5340.8%
 
ValueCountFrequency (%) 
0107.7%
 
0.00153.8%
 
0.002107.7%
 
0.00343.1%
 
0.00464.6%
 
ValueCountFrequency (%) 
121.5%
 
0.91210.8%
 
0.2110.8%
 
0.110.8%
 
0.09910.8%
 

synchronizedMethodsQty_sum
Real number (ℝ≥0)

ZEROS

Distinct56
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1198656312
Minimum0
Maximum1
Zeros24
Zeros (%)18.5%
Memory size1.0 KiB
2020-10-13T12:31:14.234125image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.001602564103
median0.0172275641
Q30.07612179487
95-th percentile0.7724358974
Maximum1
Range1
Interquartile range (IQR)0.07451923077

Descriptive statistics

Standard deviation0.2411181434
Coefficient of variation (CV)2.011570298
Kurtosis4.362990912
Mean0.1198656312
Median Absolute Deviation (MAD)0.0172275641
Skewness2.371601038
Sum15.58253205
Variance0.05813795908
MonotocityNot monotonic
2020-10-13T12:31:14.477419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02418.5%
 
0.00160256410386.2%
 
0.772435897486.2%
 
0.000801282051364.6%
 
0.10897435943.1%
 
0.0761217948743.1%
 
0.00320512820543.1%
 
0.00480769230832.3%
 
0.0312532.3%
 
0.0064102564132.3%
 
Other values (46)6348.5%
 
ValueCountFrequency (%) 
02418.5%
 
0.000801282051364.6%
 
0.00160256410386.2%
 
0.00240384615421.5%
 
0.00320512820543.1%
 
ValueCountFrequency (%) 
121.5%
 
0.772435897486.2%
 
0.748397435910.8%
 
0.719551282110.8%
 
0.708333333310.8%
 

synchronizedMethodsQty_average
Real number (ℝ≥0)

ZEROS

Distinct92
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04055973022
Minimum0
Maximum1
Zeros24
Zeros (%)18.5%
Memory size1.0 KiB
2020-10-13T12:31:14.714923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.001814748344
median0.01974464816
Q30.04347118519
95-th percentile0.1298925853
Maximum1
Range1
Interquartile range (IQR)0.04165643685

Descriptive statistics

Standard deviation0.09596852124
Coefficient of variation (CV)2.36610354
Kurtosis78.35034977
Mean0.04055973022
Median Absolute Deviation (MAD)0.01854870301
Skewness8.027804044
Sum5.272764928
Variance0.009209957069
MonotocityNot monotonic
2020-10-13T12:31:14.946602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02418.5%
 
0.0211873908453.8%
 
0.099065041443.1%
 
0.0439132851632.3%
 
0.0197446481632.3%
 
0.0211828471121.5%
 
0.0136316184521.5%
 
0.129384977821.5%
 
0.0167832380121.5%
 
0.0112919876110.8%
 
Other values (82)8263.1%
 
ValueCountFrequency (%) 
02418.5%
 
0.00015935354910.8%
 
0.000305256202710.8%
 
0.000698620445710.8%
 
0.000795839472110.8%
 
ValueCountFrequency (%) 
110.8%
 
0.206746579610.8%
 
0.204928664110.8%
 
0.202748571910.8%
 
0.166136684610.8%
 

synchronizedMethodsQty_stdev
Real number (ℝ≥0)

ZEROS

Distinct93
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07031906774
Minimum0
Maximum1
Zeros24
Zeros (%)18.5%
Memory size1.0 KiB
2020-10-13T12:31:15.172491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.007407208757
median0.05002223496
Q30.08273195212
95-th percentile0.1916866394
Maximum1
Range1
Interquartile range (IQR)0.07532474336

Descriptive statistics

Standard deviation0.1177553883
Coefficient of variation (CV)1.67458688
Kurtosis34.28744099
Mean0.07031906774
Median Absolute Deviation (MAD)0.0390343912
Skewness5.148010094
Sum9.141478806
Variance0.01386633146
MonotocityNot monotonic
2020-10-13T12:31:15.399399image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02418.5%
 
0.0500248797453.8%
 
0.156196209243.1%
 
0.0659343473532.3%
 
0.073847477321.5%
 
0.0500195901821.5%
 
0.0553726021121.5%
 
0.101203488221.5%
 
0.0375536777321.5%
 
0.0247958521510.8%
 
Other values (83)8363.8%
 
ValueCountFrequency (%) 
02418.5%
 
0.00195568629510.8%
 
0.00270676511610.8%
 
0.00409175345310.8%
 
0.00534985687910.8%
 
ValueCountFrequency (%) 
110.8%
 
0.645747302810.8%
 
0.450752375810.8%
 
0.324555745210.8%
 
0.2165916710.8%
 

synchronizedMethodsQty_max
Real number (ℝ≥0)

ZEROS

Distinct37
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1231443995
Minimum0
Maximum1
Zeros24
Zeros (%)18.5%
Memory size1.0 KiB
2020-10-13T12:31:15.620619image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01096491228
median0.05701754386
Q30.1842105263
95-th percentile0.3820175439
Maximum1
Range1
Interquartile range (IQR)0.173245614

Descriptive statistics

Standard deviation0.1709105718
Coefficient of variation (CV)1.387887492
Kurtosis9.598739562
Mean0.1231443995
Median Absolute Deviation (MAD)0.05701754386
Skewness2.727518188
Sum16.00877193
Variance0.02921042354
MonotocityNot monotonic
2020-10-13T12:31:15.830585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
02418.5%
 
0.01754385965129.2%
 
0.00877192982596.9%
 
0.245614035196.9%
 
0.0263157894786.2%
 
0.184210526386.2%
 
0.0614035087764.6%
 
0.035087719353.8%
 
0.0526315789553.8%
 
0.131578947443.1%
 
Other values (27)4030.8%
 
ValueCountFrequency (%) 
02418.5%
 
0.00877192982596.9%
 
0.01754385965129.2%
 
0.0263157894786.2%
 
0.035087719353.8%
 
ValueCountFrequency (%) 
110.8%
 
0.912280701810.8%
 
0.807017543910.8%
 
0.596491228110.8%
 
0.587719298210.8%
 

totalFieldsQty_sum
Real number (ℝ≥0)

ZEROS

Distinct44
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1062430323
Minimum0
Maximum1
Zeros45
Zeros (%)34.6%
Memory size1.0 KiB
2020-10-13T12:31:16.041607image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01449275362
Q30.1413043478
95-th percentile0.5514492754
Maximum1
Range1
Interquartile range (IQR)0.1413043478

Descriptive statistics

Standard deviation0.1923629354
Coefficient of variation (CV)1.810593421
Kurtosis7.604520693
Mean0.1062430323
Median Absolute Deviation (MAD)0.01449275362
Skewness2.672101411
Sum13.8115942
Variance0.03700349891
MonotocityNot monotonic
2020-10-13T12:31:16.264962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%) 
04534.6%
 
0.242753623286.2%
 
0.00362318840686.2%
 
0.00724637681286.2%
 
0.228260869653.8%
 
0.0398550724653.8%
 
0.0144927536232.3%
 
0.0289855072532.3%
 
0.0217391304332.3%
 
0.0181159420332.3%
 
Other values (34)3930.0%
 
ValueCountFrequency (%) 
04534.6%
 
0.00362318840686.2%
 
0.00724637681286.2%
 
0.0108695652221.5%
 
0.0144927536232.3%
 
ValueCountFrequency (%) 
110.8%
 
0.909420289910.8%
 
0.800724637710.8%
 
0.778985507210.8%
 
0.692028985510.8%
 

totalFieldsQty_stdev
Real number (ℝ≥0)

ZEROS

Distinct73
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08645546941
Minimum0
Maximum1
Zeros45
Zeros (%)34.6%
Memory size1.0 KiB
2020-10-13T12:31:16.494901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.02632821237
Q30.09306033763
95-th percentile0.2935802173
Maximum1
Range1
Interquartile range (IQR)0.09306033763

Descriptive statistics

Standard deviation0.167142305
Coefficient of variation (CV)1.933276242
Kurtosis13.08500373
Mean0.08645546941
Median Absolute Deviation (MAD)0.02632821237
Skewness3.417314059
Sum11.23921102
Variance0.02793655012
MonotocityNot monotonic
2020-10-13T12:31:16.724541image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04534.6%
 
0.0273221955453.8%
 
0.28204222743.1%
 
0.00625041510632.3%
 
0.0230451859121.5%
 
0.0273192706921.5%
 
0.0253479076921.5%
 
0.0517641192821.5%
 
0.0772448331210.8%
 
0.1833527410.8%
 
Other values (63)6348.5%
 
ValueCountFrequency (%) 
04534.6%
 
0.00625041510632.3%
 
0.0099811125110.8%
 
0.0105260442310.8%
 
0.0137414396410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.82904711310.8%
 
0.800935950910.8%
 
0.763299556510.8%
 
0.553199225810.8%
 

totalFieldsQty_median
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
130 
ValueCountFrequency (%) 
0130100.0%
 

totalFieldsQty_max
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08187565859
Minimum0
Maximum1
Zeros45
Zeros (%)34.6%
Memory size1.0 KiB
2020-10-13T12:31:16.927458image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.02739726027
Q30.09589041096
95-th percentile0.3924657534
Maximum1
Range1
Interquartile range (IQR)0.09589041096

Descriptive statistics

Standard deviation0.1423139971
Coefficient of variation (CV)1.738172242
Kurtosis15.41982172
Mean0.08187565859
Median Absolute Deviation (MAD)0.02739726027
Skewness3.451316848
Sum10.64383562
Variance0.02025327376
MonotocityNot monotonic
2020-10-13T12:31:17.113049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
04534.6%
 
0.013698630141410.8%
 
0.0684931506896.9%
 
0.0958904109696.9%
 
0.0410958904175.4%
 
0.0273972602775.4%
 
0.0547945205564.6%
 
0.246575342564.6%
 
0.109589041153.8%
 
0.0821917808253.8%
 
Other values (12)1713.1%
 
ValueCountFrequency (%) 
04534.6%
 
0.013698630141410.8%
 
0.0273972602775.4%
 
0.0410958904175.4%
 
0.0547945205564.6%
 
ValueCountFrequency (%) 
110.8%
 
0.616438356210.8%
 
0.534246575310.8%
 
0.520547945210.8%
 
0.479452054810.8%
 

defaultMethodsQty_average
Real number (ℝ≥0)

ZEROS

Distinct111
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09067092313
Minimum0
Maximum1
Zeros6
Zeros (%)4.6%
Memory size1.0 KiB
2020-10-13T12:31:17.330138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002487244898
Q10.03219766453
median0.06433793197
Q30.1114445853
95-th percentile0.2387713706
Maximum1
Range1
Interquartile range (IQR)0.07924692075

Descriptive statistics

Standard deviation0.1150870376
Coefficient of variation (CV)1.269282739
Kurtosis32.14842276
Mean0.09067092313
Median Absolute Deviation (MAD)0.04026886544
Skewness4.71894767
Sum11.78722001
Variance0.01324502623
MonotocityNot monotonic
2020-10-13T12:31:17.562647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
064.6%
 
0.0839539607343.1%
 
0.109609609643.1%
 
0.00510204081632.3%
 
0.238771370632.3%
 
0.102914960321.5%
 
0.112608886621.5%
 
0.0284135753721.5%
 
0.0340513145421.5%
 
0.0282335907310.8%
 
Other values (101)10177.7%
 
ValueCountFrequency (%) 
064.6%
 
0.00243506493510.8%
 
0.00255102040810.8%
 
0.00382653061210.8%
 
0.00510204081632.3%
 
ValueCountFrequency (%) 
110.8%
 
0.600197726110.8%
 
0.322916666710.8%
 
0.258124186810.8%
 
0.250384024610.8%
 
Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
123 
1
 
6
0.5
 
1
ValueCountFrequency (%) 
012394.6%
 
164.6%
 
0.510.8%
 
2020-10-13T12:31:17.783257image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.8%

defaultMethodsQty_max
Real number (ℝ≥0)

ZEROS

Distinct53
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12853867
Minimum0
Maximum1
Zeros6
Zeros (%)4.6%
Memory size1.0 KiB
2020-10-13T12:31:17.989923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0027100271
Q10.0135501355
median0.05420054201
Q30.1327913279
95-th percentile0.4905149051
Maximum1
Range1
Interquartile range (IQR)0.1192411924

Descriptive statistics

Standard deviation0.197207499
Coefficient of variation (CV)1.534227007
Kurtosis7.45219686
Mean0.12853867
Median Absolute Deviation (MAD)0.0460704607
Skewness2.587587072
Sum16.7100271
Variance0.03889079765
MonotocityNot monotonic
2020-10-13T12:31:18.214776image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.00813008130196.9%
 
0.0542005420186.2%
 
0.00542005420175.4%
 
0.002710027175.4%
 
0.0514905149164.6%
 
064.6%
 
0.018970189753.8%
 
0.013550135553.8%
 
0.46070460743.1%
 
0.113821138243.1%
 
Other values (43)6953.1%
 
ValueCountFrequency (%) 
064.6%
 
0.002710027175.4%
 
0.00542005420175.4%
 
0.00813008130196.9%
 
0.010840108432.3%
 
ValueCountFrequency (%) 
110.8%
 
0.997289972921.5%
 
0.569105691110.8%
 
0.558265582710.8%
 
0.542005420110.8%
 

totalMethodsQty_median
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2982905983
Minimum0
Maximum1
Zeros2
Zeros (%)1.5%
Memory size1.0 KiB
2020-10-13T12:31:18.402176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1111111111
Q10.2222222222
median0.2222222222
Q30.3333333333
95-th percentile0.6666666667
Maximum1
Range1
Interquartile range (IQR)0.1111111111

Descriptive statistics

Standard deviation0.1832985457
Coefficient of variation (CV)0.6144965572
Kurtosis2.283247917
Mean0.2982905983
Median Absolute Deviation (MAD)0.1111111111
Skewness1.367385415
Sum38.77777778
Variance0.03359835685
MonotocityNot monotonic
2020-10-13T12:31:18.580956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
0.22222222224131.5%
 
0.11111111112821.5%
 
0.33333333332821.5%
 
0.44444444441511.5%
 
0.666666666753.8%
 
0.555555555632.3%
 
0.888888888921.5%
 
021.5%
 
0.777777777810.8%
 
0.277777777810.8%
 
Other values (4)43.1%
 
ValueCountFrequency (%) 
021.5%
 
0.11111111112821.5%
 
0.22222222224131.5%
 
0.277777777810.8%
 
0.33333333332821.5%
 
ValueCountFrequency (%) 
110.8%
 
0.888888888921.5%
 
0.777777777810.8%
 
0.722222222210.8%
 
0.666666666753.8%
 

dit_average
Real number (ℝ≥0)

ZEROS

Distinct113
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2922979462
Minimum0
Maximum1
Zeros3
Zeros (%)2.3%
Memory size1.0 KiB
2020-10-13T12:31:18.790613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07468919969
Q10.1714269342
median0.2695848351
Q30.3734912012
95-th percentile0.6196514855
Maximum1
Range1
Interquartile range (IQR)0.2020642669

Descriptive statistics

Standard deviation0.1652237494
Coefficient of variation (CV)0.5652579897
Kurtosis2.100701885
Mean0.2922979462
Median Absolute Deviation (MAD)0.1032282282
Skewness1.038058611
Sum37.998733
Variance0.02729888738
MonotocityNot monotonic
2020-10-13T12:31:19.022294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.365246198643.1%
 
0.127698788843.1%
 
032.3%
 
0.131094583432.3%
 
0.399679822821.5%
 
0.337301587321.5%
 
0.365763576121.5%
 
0.292397660821.5%
 
0.213106676521.5%
 
0.138888888921.5%
 
Other values (103)10480.0%
 
ValueCountFrequency (%) 
032.3%
 
0.0612423447110.8%
 
0.0628306878310.8%
 
0.0666666666710.8%
 
0.074609733710.8%
 
ValueCountFrequency (%) 
110.8%
 
0.738425925910.8%
 
0.713429256610.8%
 
0.664043470121.5%
 
0.627240143410.8%
 

dit_stdev
Real number (ℝ≥0)

ZEROS

Distinct115
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1953820585
Minimum0
Maximum0.928949676
Zeros3
Zeros (%)2.3%
Memory size1.0 KiB
2020-10-13T12:31:19.528343image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07540452661
Q10.1142337776
median0.1567487058
Q30.2295439406
95-th percentile0.4720597897
Maximum0.928949676
Range0.928949676
Interquartile range (IQR)0.115310163

Descriptive statistics

Standard deviation0.1344968763
Coefficient of variation (CV)0.6883788476
Kurtosis8.229782003
Mean0.1953820585
Median Absolute Deviation (MAD)0.05123986385
Skewness2.398374727
Sum25.39966761
Variance0.01808940973
MonotocityNot monotonic
2020-10-13T12:31:19.759528image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.332687228143.1%
 
0.10514599143.1%
 
0.0984510425432.3%
 
032.3%
 
0.224577875921.5%
 
0.119218621421.5%
 
0.528429078121.5%
 
0.33276018821.5%
 
0.152930592121.5%
 
0.17754773510.8%
 
Other values (105)10580.8%
 
ValueCountFrequency (%) 
032.3%
 
0.0635598895210.8%
 
0.0719695687310.8%
 
0.0746169657910.8%
 
0.0750921182410.8%
 
ValueCountFrequency (%) 
0.92894967610.8%
 
0.70399190210.8%
 
0.63201339110.8%
 
0.528429078121.5%
 
0.521330499910.8%
 

dit_median
Categorical

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
118 
0.5
 
9
0.25
 
2
1
 
1
ValueCountFrequency (%) 
011890.8%
 
0.596.9%
 
0.2521.5%
 
110.8%
 
2020-10-13T12:31:19.968738image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.8%

dit_max
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1387612388
Minimum0
Maximum0.7402597403
Zeros3
Zeros (%)2.3%
Memory size1.0 KiB
2020-10-13T12:31:20.150985image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01298701299
Q10.02597402597
median0.03896103896
Q30.1136363636
95-th percentile0.6558441558
Maximum0.7402597403
Range0.7402597403
Interquartile range (IQR)0.08766233766

Descriptive statistics

Standard deviation0.204371219
Coefficient of variation (CV)1.472826423
Kurtosis2.106722541
Mean0.1387612388
Median Absolute Deviation (MAD)0.02597402597
Skewness1.855770697
Sum18.03896104
Variance0.04176759514
MonotocityNot monotonic
2020-10-13T12:31:20.356056image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
0.032467532471511.5%
 
0.019480519481410.8%
 
0.038961038961410.8%
 
0.012987012991310.0%
 
0.02597402597107.7%
 
0.655844155896.9%
 
0.0584415584464.6%
 
0.0844155844253.8%
 
0.0909090909143.1%
 
0.097402597443.1%
 
Other values (25)3627.7%
 
ValueCountFrequency (%) 
032.3%
 
0.00649350649421.5%
 
0.012987012991310.0%
 
0.019480519481410.8%
 
0.02597402597107.7%
 
ValueCountFrequency (%) 
0.740259740321.5%
 
0.733766233810.8%
 
0.655844155896.9%
 
0.47402597410.8%
 
0.46103896110.8%
 

lcc_sum
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.883377589
Minimum0
Maximum1
Zeros2
Zeros (%)1.5%
Memory size1.0 KiB
2020-10-13T12:31:20.594191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002655337228
Q10.9407859798
median0.9917684546
Q30.9978757302
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.0570897504

Descriptive statistics

Standard deviation0.2659472513
Coefficient of variation (CV)0.3010572768
Kurtosis5.722384903
Mean0.883377589
Median Absolute Deviation (MAD)0.008231545406
Skewness-2.64365218
Sum114.8390866
Variance0.0707279405
MonotocityNot monotonic
2020-10-13T12:31:20.828327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11813.8%
 
0.997875730275.4%
 
0.999468932653.8%
 
0.995751460453.8%
 
0.996813595353.8%
 
0.994158258153.8%
 
0.998406797743.1%
 
0.00265533722843.1%
 
0.929899097243.1%
 
0.879978757332.3%
 
Other values (53)7053.8%
 
ValueCountFrequency (%) 
021.5%
 
0.00106213489110.8%
 
0.00212426978210.8%
 
0.00265533722843.1%
 
0.152947424310.8%
 
ValueCountFrequency (%) 
11813.8%
 
0.999468932653.8%
 
0.998937865121.5%
 
0.998406797743.1%
 
0.997875730275.4%
 

lcc_average
Real number (ℝ≥0)

Distinct97
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8286099247
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:21.057584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4240025185
Q10.7670642038
median0.8999339805
Q30.9578000921
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.1907358883

Descriptive statistics

Standard deviation0.1916789556
Coefficient of variation (CV)0.2313259229
Kurtosis3.891215157
Mean0.8286099247
Median Absolute Deviation (MAD)0.08813696492
Skewness-1.872952899
Sum107.7192902
Variance0.03674082201
MonotocityNot monotonic
2020-10-13T12:31:21.288586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11813.8%
 
0.767074852643.1%
 
0.424002518543.1%
 
0.691428602732.3%
 
0.926192530521.5%
 
0.918935310721.5%
 
0.766857684221.5%
 
0.718872042621.5%
 
0.456155487921.5%
 
0.96600971821.5%
 
Other values (87)8968.5%
 
ValueCountFrequency (%) 
010.8%
 
0.0950358039810.8%
 
0.251441289510.8%
 
0.421927511710.8%
 
0.42356976310.8%
 
ValueCountFrequency (%) 
11813.8%
 
0.996201086110.8%
 
0.984090768710.8%
 
0.97684327410.8%
 
0.974167385710.8%
 

lcc_stdev
Real number (ℝ≥0)

ZEROS

Distinct101
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5283707397
Minimum0
Maximum1
Zeros18
Zeros (%)13.8%
Memory size1.0 KiB
2020-10-13T12:31:21.525195image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.352101067
median0.5343335547
Q30.7581839914
95-th percentile0.9815755749
Maximum1
Range1
Interquartile range (IQR)0.4060829244

Descriptive statistics

Standard deviation0.2951595524
Coefficient of variation (CV)0.5586220626
Kurtosis-0.716707041
Mean0.5283707397
Median Absolute Deviation (MAD)0.2225767035
Skewness-0.3348574548
Sum68.68819616
Variance0.08711916138
MonotocityNot monotonic
2020-10-13T12:31:21.760958image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01813.8%
 
0.757966468243.1%
 
0.981575574943.1%
 
0.841067230332.3%
 
0.758241889521.5%
 
0.813716655821.5%
 
0.583249402121.5%
 
0.478628123421.5%
 
0.343091788810.8%
 
0.42836918310.8%
 
Other values (91)9170.0%
 
ValueCountFrequency (%) 
01813.8%
 
0.106795357710.8%
 
0.21745017810.8%
 
0.261845858810.8%
 
0.27783360910.8%
 
ValueCountFrequency (%) 
110.8%
 
0.985160159810.8%
 
0.984062517510.8%
 
0.983700877210.8%
 
0.981575574943.1%
 

lcc_median
Boolean

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
127 
0
 
3
ValueCountFrequency (%) 
112797.7%
 
032.3%
 

lcc_min
Boolean

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
112 
1
18 
ValueCountFrequency (%) 
011286.2%
 
11813.8%
 

staticFieldsQty_average
Real number (ℝ≥0)

Distinct116
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1976558235
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:21.994314image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04459166363
Q10.1148253859
median0.1695823072
Q30.2370413726
95-th percentile0.4784615026
Maximum1
Range1
Interquartile range (IQR)0.1222159867

Descriptive statistics

Standard deviation0.1390917016
Coefficient of variation (CV)0.7037065702
Kurtosis9.384296701
Mean0.1976558235
Median Absolute Deviation (MAD)0.06655158589
Skewness2.395077538
Sum25.69525706
Variance0.01934650147
MonotocityNot monotonic
2020-10-13T12:31:22.220055image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.140368350343.1%
 
0.103030721343.1%
 
0.0805533127232.3%
 
0.233688742521.5%
 
0.210224517821.5%
 
0.237041372621.5%
 
0.0970873786421.5%
 
0.185092997221.5%
 
0.140834187621.5%
 
0.243238301510.8%
 
Other values (106)10681.5%
 
ValueCountFrequency (%) 
010.8%
 
0.0231882801710.8%
 
0.0246811912510.8%
 
0.025676465310.8%
 
0.028552344410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.703473843810.8%
 
0.578252373910.8%
 
0.54943943610.8%
 
0.548543689310.8%
 

staticFieldsQty_median
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06239316239
Minimum0
Maximum1
Zeros74
Zeros (%)56.9%
Memory size1.0 KiB
2020-10-13T12:31:22.441413image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1111111111
95-th percentile0.2222222222
Maximum1
Range1
Interquartile range (IQR)0.1111111111

Descriptive statistics

Standard deviation0.1119724121
Coefficient of variation (CV)1.79462633
Kurtosis37.84440605
Mean0.06239316239
Median Absolute Deviation (MAD)0
Skewness4.981330962
Sum8.111111111
Variance0.01253782106
MonotocityNot monotonic
2020-10-13T12:31:22.606635image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
07456.9%
 
0.11111111114131.5%
 
0.0555555555653.8%
 
0.222222222243.1%
 
0.277777777821.5%
 
0.333333333321.5%
 
0.166666666710.8%
 
110.8%
 
ValueCountFrequency (%) 
07456.9%
 
0.0555555555653.8%
 
0.11111111114131.5%
 
0.166666666710.8%
 
0.222222222243.1%
 
ValueCountFrequency (%) 
110.8%
 
0.333333333321.5%
 
0.277777777821.5%
 
0.222222222243.1%
 
0.166666666710.8%
 

returnQty_average
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1744793343
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:22.802648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04549454893
Q10.09919562135
median0.1388329566
Q30.2143930171
95-th percentile0.3560601459
Maximum1
Range1
Interquartile range (IQR)0.1151973957

Descriptive statistics

Standard deviation0.1318675455
Coefficient of variation (CV)0.7557774452
Kurtosis13.58384246
Mean0.1744793343
Median Absolute Deviation (MAD)0.05537604393
Skewness2.920264731
Sum22.68231346
Variance0.01738904955
MonotocityNot monotonic
2020-10-13T12:31:23.034197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.143117354543.1%
 
0.125034558443.1%
 
0.0834569126332.3%
 
0.345829346621.5%
 
0.228782688121.5%
 
0.125335111121.5%
 
0.186160611121.5%
 
0.109806788721.5%
 
0.0540368473310.8%
 
0.117437123410.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.0304245492510.8%
 
0.031516804910.8%
 
0.0321197587410.8%
 
0.0407989887210.8%
 
ValueCountFrequency (%) 
110.8%
 
0.754110635510.8%
 
0.490295763410.8%
 
0.479968025610.8%
 
0.450489392710.8%
 

returnQty_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1317284413
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:23.263501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.028628569
Q10.07260464138
median0.09618226753
Q30.1571251409
95-th percentile0.314448317
Maximum1
Range1
Interquartile range (IQR)0.08452049955

Descriptive statistics

Standard deviation0.1216282503
Coefficient of variation (CV)0.9233256622
Kurtosis22.82748823
Mean0.1317284413
Median Absolute Deviation (MAD)0.03625644606
Skewness4.030789991
Sum17.12469737
Variance0.01479343127
MonotocityNot monotonic
2020-10-13T12:31:23.498531image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0923794514843.1%
 
0.193221776443.1%
 
0.0626457595132.3%
 
0.235576940321.5%
 
0.132438713621.5%
 
0.0926502988521.5%
 
0.120641065721.5%
 
0.0873681179621.5%
 
0.0717682980610.8%
 
0.149632026810.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.0134509292710.8%
 
0.0142737036610.8%
 
0.0185861066110.8%
 
0.0189437564410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.663538857410.8%
 
0.561632886510.8%
 
0.39329112710.8%
 
0.367602442910.8%
 

returnQty_median
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1647435897
Minimum0
Maximum1
Zeros42
Zeros (%)32.3%
Memory size1.0 KiB
2020-10-13T12:31:23.696472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1666666667
Q30.1666666667
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.1666666667

Descriptive statistics

Standard deviation0.168102787
Coefficient of variation (CV)1.020390458
Kurtosis5.339239951
Mean0.1647435897
Median Absolute Deviation (MAD)0.1666666667
Skewness1.798688239
Sum21.41666667
Variance0.02825854701
MonotocityNot monotonic
2020-10-13T12:31:23.858718image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
0.16666666676247.7%
 
04232.3%
 
0.33333333331813.8%
 
0.543.1%
 
0.666666666721.5%
 
110.8%
 
0.7510.8%
 
ValueCountFrequency (%) 
04232.3%
 
0.16666666676247.7%
 
0.33333333331813.8%
 
0.543.1%
 
0.666666666721.5%
 
ValueCountFrequency (%) 
110.8%
 
0.7510.8%
 
0.666666666721.5%
 
0.543.1%
 
0.33333333331813.8%
 

returnQty_max
Real number (ℝ≥0)

Distinct86
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1831026117
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:24.060661image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01669758813
Q10.06307977737
median0.1391465677
Q30.2300556586
95-th percentile0.6165120594
Maximum1
Range1
Interquartile range (IQR)0.1669758813

Descriptive statistics

Standard deviation0.1806794366
Coefficient of variation (CV)0.9867660269
Kurtosis4.808135168
Mean0.1831026117
Median Absolute Deviation (MAD)0.08905380334
Skewness2.049480097
Sum23.80333952
Variance0.03264505882
MonotocityNot monotonic
2020-10-13T12:31:24.292079image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0296846011153.8%
 
0.230055658653.8%
 
0.365491651253.8%
 
0.0630797773753.8%
 
0.174397031543.1%
 
0.0166975881332.3%
 
0.122448979632.3%
 
0.139146567732.3%
 
0.233766233832.3%
 
0.105751391532.3%
 
Other values (76)9170.0%
 
ValueCountFrequency (%) 
010.8%
 
0.0018552875710.8%
 
0.00742115027810.8%
 
0.0111317254221.5%
 
0.0129870129910.8%
 
ValueCountFrequency (%) 
110.8%
 
0.784786641910.8%
 
0.756957328410.8%
 
0.755102040810.8%
 
0.658627087221.5%
 

logStatementsQty_stdev
Real number (ℝ≥0)

ZEROS

Distinct82
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02886424019
Minimum0
Maximum1
Zeros37
Zeros (%)28.5%
Memory size1.0 KiB
2020-10-13T12:31:24.538280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01395560135
Q30.03002318666
95-th percentile0.07132833237
Maximum1
Range1
Interquartile range (IQR)0.03002318666

Descriptive statistics

Standard deviation0.0898121702
Coefficient of variation (CV)3.111537654
Kurtosis108.0046484
Mean0.02886424019
Median Absolute Deviation (MAD)0.01395560135
Skewness9.987327142
Sum3.752351224
Variance0.008066225917
MonotocityNot monotonic
2020-10-13T12:31:24.773403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03728.5%
 
0.0299621619443.1%
 
0.00422468613243.1%
 
0.00469231707532.3%
 
0.0465688539121.5%
 
0.0126409479621.5%
 
0.0568709566521.5%
 
0.0300322838921.5%
 
0.00350793029210.8%
 
0.00122685157310.8%
 
Other values (72)7255.4%
 
ValueCountFrequency (%) 
03728.5%
 
0.00122685157310.8%
 
0.00186734171410.8%
 
0.00321430371610.8%
 
0.00350793029210.8%
 
ValueCountFrequency (%) 
110.8%
 
0.158346949810.8%
 
0.116096958410.8%
 
0.112032497910.8%
 
0.0968895311310.8%
 

logStatementsQty_max
Real number (ℝ≥0)

ZEROS

Distinct34
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06946624804
Minimum0
Maximum1
Zeros37
Zeros (%)28.5%
Memory size1.0 KiB
2020-10-13T12:31:24.987281image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.03316326531
Q30.1045918367
95-th percentile0.2375
Maximum1
Range1
Interquartile range (IQR)0.1045918367

Descriptive statistics

Standard deviation0.1124036799
Coefficient of variation (CV)1.618104952
Kurtosis36.39677209
Mean0.06946624804
Median Absolute Deviation (MAD)0.03316326531
Skewness4.920643426
Sum9.030612245
Variance0.01263458726
MonotocityNot monotonic
2020-10-13T12:31:25.189502image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
03728.5%
 
0.1479591837107.7%
 
0.0153061224575.4%
 
0.00510204081664.6%
 
0.0357142857153.8%
 
0.0408163265353.8%
 
0.0255102040853.8%
 
0.0816326530643.1%
 
0.030612244943.1%
 
0.0102040816332.3%
 
Other values (24)4433.8%
 
ValueCountFrequency (%) 
03728.5%
 
0.00510204081664.6%
 
0.0102040816332.3%
 
0.0153061224575.4%
 
0.0204081632732.3%
 
ValueCountFrequency (%) 
110.8%
 
0.423469387810.8%
 
0.290816326510.8%
 
0.275510204110.8%
 
0.244897959210.8%
 

mathOperationsQty_stdev
Real number (ℝ≥0)

ZEROS

Distinct116
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1244106525
Minimum0
Maximum1
Zeros2
Zeros (%)1.5%
Memory size1.0 KiB
2020-10-13T12:31:25.407704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.007142984755
Q10.03599992117
median0.06448796849
Q30.1251225222
95-th percentile0.4704731976
Maximum1
Range1
Interquartile range (IQR)0.08912260106

Descriptive statistics

Standard deviation0.1692567069
Coefficient of variation (CV)1.360467962
Kurtosis10.39562628
Mean0.1244106525
Median Absolute Deviation (MAD)0.03730253212
Skewness3.016085728
Sum16.17338483
Variance0.02864783285
MonotocityNot monotonic
2020-10-13T12:31:25.639268image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0611601586643.1%
 
0.199745662443.1%
 
0.0224616102532.3%
 
0.0811376553321.5%
 
0.0612184395521.5%
 
0.174721424421.5%
 
0.0411158497821.5%
 
0.0511410941621.5%
 
021.5%
 
0.0794756197210.8%
 
Other values (106)10681.5%
 
ValueCountFrequency (%) 
021.5%
 
0.00466584647210.8%
 
0.00498820797910.8%
 
0.00503579406210.8%
 
0.00573666532610.8%
 
ValueCountFrequency (%) 
110.8%
 
0.931247005710.8%
 
0.754557965810.8%
 
0.618075593610.8%
 
0.574776277810.8%
 
Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
115 
0.2222222222
 
11
0.4444444444
 
2
1
 
2
ValueCountFrequency (%) 
011588.5%
 
0.2222222222118.5%
 
0.444444444421.5%
 
121.5%
 
2020-10-13T12:31:25.845102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

mathOperationsQty_max
Real number (ℝ≥0)

ZEROS

Distinct75
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1763570392
Minimum0
Maximum1
Zeros2
Zeros (%)1.5%
Memory size1.0 KiB
2020-10-13T12:31:26.044217image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003773584906
Q10.03632075472
median0.1056603774
Q30.2471698113
95-th percentile0.4981132075
Maximum1
Range1
Interquartile range (IQR)0.2108490566

Descriptive statistics

Standard deviation0.1905558553
Coefficient of variation (CV)1.080511763
Kurtosis2.430366501
Mean0.1763570392
Median Absolute Deviation (MAD)0.08113207547
Skewness1.557743738
Sum22.92641509
Variance0.03631153399
MonotocityNot monotonic
2020-10-13T12:31:26.274677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.477358490686.2%
 
0.405660377464.6%
 
0.00377358490664.6%
 
0.0245283018943.1%
 
0.209433962343.1%
 
0.0169811320843.1%
 
0.135849056632.3%
 
0.14150943432.3%
 
0.035849056632.3%
 
0.139622641532.3%
 
Other values (65)8666.2%
 
ValueCountFrequency (%) 
021.5%
 
0.00188679245310.8%
 
0.00377358490664.6%
 
0.00943396226421.5%
 
0.0113207547210.8%
 
ValueCountFrequency (%) 
110.8%
 
0.786792452810.8%
 
0.673584905710.8%
 
0.618867924510.8%
 
0.566037735810.8%
 

publicMethodsQty_median
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2692307692
Minimum0
Maximum1
Zeros10
Zeros (%)7.7%
Memory size1.0 KiB
2020-10-13T12:31:26.468617image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1538461538
median0.1538461538
Q30.3076923077
95-th percentile0.6153846154
Maximum1
Range1
Interquartile range (IQR)0.1538461538

Descriptive statistics

Standard deviation0.1906608075
Coefficient of variation (CV)0.7081687135
Kurtosis2.312658603
Mean0.2692307692
Median Absolute Deviation (MAD)0.1538461538
Skewness1.324672306
Sum35
Variance0.03635154351
MonotocityNot monotonic
2020-10-13T12:31:26.643157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
0.15384615385844.6%
 
0.30769230773123.8%
 
0.46153846151713.1%
 
0107.7%
 
0.615384615475.4%
 
0.923076923121.5%
 
0.0769230769210.8%
 
0.692307692310.8%
 
0.230769230810.8%
 
0.538461538510.8%
 
ValueCountFrequency (%) 
0107.7%
 
0.0769230769210.8%
 
0.15384615385844.6%
 
0.230769230810.8%
 
0.30769230773123.8%
 
ValueCountFrequency (%) 
110.8%
 
0.923076923121.5%
 
0.692307692310.8%
 
0.615384615475.4%
 
0.538461538510.8%
 

publicMethodsQty_max
Real number (ℝ≥0)

Distinct86
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1630067568
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:26.842720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01858108108
Q10.05109797297
median0.1326013514
Q30.2077702703
95-th percentile0.4342060811
Maximum1
Range1
Interquartile range (IQR)0.1566722973

Descriptive statistics

Standard deviation0.1615573579
Coefficient of variation (CV)0.9911083509
Kurtosis9.665816342
Mean0.1630067568
Median Absolute Deviation (MAD)0.07516891892
Skewness2.673166941
Sum21.19087838
Variance0.02610077988
MonotocityNot monotonic
2020-10-13T12:31:27.414945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.207770270386.2%
 
0.0185810810853.8%
 
0.0827702702743.1%
 
0.158783783843.1%
 
0.135135135132.3%
 
0.113175675732.3%
 
0.0405405405432.3%
 
0.21452702721.5%
 
0.0253378378421.5%
 
0.0287162162221.5%
 
Other values (76)9472.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00168918918910.8%
 
0.0118243243210.8%
 
0.0185810810853.8%
 
0.0202702702710.8%
 
ValueCountFrequency (%) 
110.8%
 
0.929054054110.8%
 
0.704391891921.5%
 
0.523648648610.8%
 
0.501689189210.8%
 

numbersQty_sum
Real number (ℝ≥0)

Distinct116
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1235871457
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:27.656091image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0006116019028
Q10.005874055312
median0.02637919318
Q30.1174193283
95-th percentile0.6268404687
Maximum1
Range1
Interquartile range (IQR)0.111545273

Descriptive statistics

Standard deviation0.1982726416
Coefficient of variation (CV)1.604314433
Kurtosis3.649818483
Mean0.1235871457
Median Absolute Deviation (MAD)0.02437140916
Skewness2.047432081
Sum16.06632895
Variance0.03931204043
MonotocityNot monotonic
2020-10-13T12:31:27.883874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.626840468743.1%
 
0.0263791931843.1%
 
0.019954284332.3%
 
0.629332180121.5%
 
0.475834517421.5%
 
0.00473631103121.5%
 
0.0226107370121.5%
 
0.422128868821.5%
 
0.0489899301921.5%
 
0.105413809410.8%
 
Other values (106)10681.5%
 
ValueCountFrequency (%) 
010.8%
 
2.059265666e-0510.8%
 
0.000144148596610.8%
 
0.000205926566610.8%
 
0.000473631103110.8%
 
ValueCountFrequency (%) 
110.8%
 
0.629332180121.5%
 
0.628899734410.8%
 
0.628693807810.8%
 
0.626840468743.1%
 

numbersQty_average
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05338442011
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:28.148503image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001879563982
Q10.008450100569
median0.01395565658
Q30.03304245339
95-th percentile0.242906188
Maximum1
Range1
Interquartile range (IQR)0.02459235282

Descriptive statistics

Standard deviation0.1219066001
Coefficient of variation (CV)2.28356138
Kurtosis30.95896576
Mean0.05338442011
Median Absolute Deviation (MAD)0.009814904658
Skewness4.973914141
Sum6.939974615
Variance0.01486121914
MonotocityNot monotonic
2020-10-13T12:31:28.397667image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.00969096446743.1%
 
0.0139556565843.1%
 
0.0022307539432.3%
 
0.0329637859321.5%
 
0.0956543320221.5%
 
0.0112964990721.5%
 
0.0119756754621.5%
 
0.00973115596721.5%
 
0.0101530807210.8%
 
0.0196245054410.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.000494331793910.8%
 
0.0005415117410.8%
 
0.00108321577810.8%
 
0.0011120232910.8%
 
ValueCountFrequency (%) 
110.8%
 
0.55310254510.8%
 
0.428020647610.8%
 
0.427346116310.8%
 
0.40395462110.8%
 

numbersQty_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04758602418
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:28.643962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001178503285
Q10.00699904832
median0.01622510009
Q30.02698509488
95-th percentile0.2247090746
Maximum1
Range1
Interquartile range (IQR)0.01998604656

Descriptive statistics

Standard deviation0.113487548
Coefficient of variation (CV)2.384892413
Kurtosis40.24845336
Mean0.04758602418
Median Absolute Deviation (MAD)0.009342368565
Skewness5.620649263
Sum6.186183143
Variance0.01287942355
MonotocityNot monotonic
2020-10-13T12:31:28.877462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0217129195943.1%
 
0.0169802891743.1%
 
0.00313546547532.3%
 
0.01698237421.5%
 
0.0124416693821.5%
 
0.0202894173921.5%
 
0.0137892739721.5%
 
0.139163342721.5%
 
0.048053348110.8%
 
0.14163881710.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.000485196444510.8%
 
0.000525226487510.8%
 
0.000751235691910.8%
 
0.000800211382210.8%
 
ValueCountFrequency (%) 
110.8%
 
0.459480033310.8%
 
0.39024602710.8%
 
0.37357309610.8%
 
0.287144592610.8%
 

numbersQty_median
Real number (ℝ≥0)

ZEROS

Distinct15
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04979757085
Minimum0
Maximum1
Zeros94
Zeros (%)72.3%
Memory size1.0 KiB
2020-10-13T12:31:29.083885image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.05263157895
95-th percentile0.2631578947
Maximum1
Range1
Interquartile range (IQR)0.05263157895

Descriptive statistics

Standard deviation0.1333920835
Coefficient of variation (CV)2.678686554
Kurtosis23.15174829
Mean0.04979757085
Median Absolute Deviation (MAD)0
Skewness4.343094246
Sum6.473684211
Variance0.01779344794
MonotocityNot monotonic
2020-10-13T12:31:29.264236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
09472.3%
 
0.052631578951410.8%
 
0.105263157964.6%
 
0.263157894732.3%
 
0.157894736821.5%
 
0.210526315821.5%
 
0.421052631610.8%
 
0.552631578910.8%
 
0.315789473710.8%
 
0.0263157894710.8%
 
Other values (5)53.8%
 
ValueCountFrequency (%) 
09472.3%
 
0.0263157894710.8%
 
0.052631578951410.8%
 
0.0789473684210.8%
 
0.105263157964.6%
 
ValueCountFrequency (%) 
110.8%
 
0.578947368410.8%
 
0.552631578910.8%
 
0.473684210510.8%
 
0.421052631610.8%
 

numbersQty_max
Real number (ℝ≥0)

Distinct96
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05184078269
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:29.475182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0006231100522
Q10.005337670668
median0.01979290754
Q30.05553010171
95-th percentile0.1716530743
Maximum1
Range1
Interquartile range (IQR)0.05019243105

Descriptive statistics

Standard deviation0.1082979963
Coefficient of variation (CV)2.089050177
Kurtosis48.32302814
Mean0.05184078269
Median Absolute Deviation (MAD)0.01695225877
Skewness6.182288481
Sum6.73930175
Variance0.01172845599
MonotocityNot monotonic
2020-10-13T12:31:29.708268image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.112526344786.2%
 
0.0344543205464.6%
 
0.00558966370453.8%
 
0.0864107028332.3%
 
0.00339045175532.3%
 
0.0197929075421.5%
 
0.061669568421.5%
 
0.00192431045521.5%
 
0.000458169156121.5%
 
0.00357371941721.5%
 
Other values (86)9573.1%
 
ValueCountFrequency (%) 
010.8%
 
9.163383121e-0521.5%
 
0.000274901493610.8%
 
0.000366535324810.8%
 
0.000458169156121.5%
 
ValueCountFrequency (%) 
110.8%
 
0.530468248910.8%
 
0.346009346710.8%
 
0.210849445610.8%
 
0.189773664410.8%
 

cbo_average
Real number (ℝ≥0)

Distinct116
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4169391227
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:29.945508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1092757817
Q10.3079724182
median0.428343477
Q30.5312521736
95-th percentile0.6282337207
Maximum1
Range1
Interquartile range (IQR)0.2232797555

Descriptive statistics

Standard deviation0.1682989709
Coefficient of variation (CV)0.4036535834
Kurtosis0.6696235822
Mean0.4169391227
Median Absolute Deviation (MAD)0.1162177673
Skewness-0.1178806974
Sum54.20208595
Variance0.02832454361
MonotocityNot monotonic
2020-10-13T12:31:30.175924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.556701698743.1%
 
0.120672764343.1%
 
0.485901482332.3%
 
0.546515822221.5%
 
0.563211503921.5%
 
0.524364337821.5%
 
0.557612051721.5%
 
0.578552911921.5%
 
0.474813832121.5%
 
0.481473305810.8%
 
Other values (106)10681.5%
 
ValueCountFrequency (%) 
010.8%
 
0.00587564506510.8%
 
0.0401437986810.8%
 
0.0603654883210.8%
 
0.0778909526710.8%
 
ValueCountFrequency (%) 
110.8%
 
0.812680233310.8%
 
0.783223487110.8%
 
0.674802215710.8%
 
0.660275614110.8%
 

cbo_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3088082028
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:30.415966image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07899259574
Q10.1946938915
median0.3232198548
Q30.4274415345
95-th percentile0.4998408688
Maximum1
Range1
Interquartile range (IQR)0.2327476429

Descriptive statistics

Standard deviation0.1500626402
Coefficient of variation (CV)0.4859412373
Kurtosis2.136069771
Mean0.3088082028
Median Absolute Deviation (MAD)0.1155991598
Skewness0.4974292166
Sum40.14506637
Variance0.02251879598
MonotocityNot monotonic
2020-10-13T12:31:30.660658image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.483906416743.1%
 
0.12240264343.1%
 
0.343640023632.3%
 
0.429618194321.5%
 
0.495647445921.5%
 
0.484385528521.5%
 
0.49183441721.5%
 
0.163335770121.5%
 
0.271015718810.8%
 
0.305503259410.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00291036688510.8%
 
0.0149623067110.8%
 
0.0165568113410.8%
 
0.0337774503310.8%
 
ValueCountFrequency (%) 
110.8%
 
0.544919829510.8%
 
0.533627634810.8%
 
0.514758790310.8%
 
0.50941250110.8%
 

cbo_median
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2516025641
Minimum0
Maximum1
Zeros5
Zeros (%)3.8%
Memory size1.0 KiB
2020-10-13T12:31:30.853578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08333333333
Q10.1666666667
median0.25
Q30.3333333333
95-th percentile0.4166666667
Maximum1
Range1
Interquartile range (IQR)0.1666666667

Descriptive statistics

Standard deviation0.1289120653
Coefficient of variation (CV)0.5123638774
Kurtosis9.286933659
Mean0.2516025641
Median Absolute Deviation (MAD)0.08333333333
Skewness1.718030219
Sum32.70833333
Variance0.01661832058
MonotocityNot monotonic
2020-10-13T12:31:31.021482image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
0.254433.8%
 
0.33333333333426.2%
 
0.16666666672418.5%
 
0.08333333333129.2%
 
053.8%
 
0.416666666743.1%
 
0.521.5%
 
0.458333333310.8%
 
0.208333333310.8%
 
0.291666666710.8%
 
Other values (2)21.5%
 
ValueCountFrequency (%) 
053.8%
 
0.08333333333129.2%
 
0.16666666672418.5%
 
0.208333333310.8%
 
0.254433.8%
 
ValueCountFrequency (%) 
110.8%
 
0.7510.8%
 
0.521.5%
 
0.458333333310.8%
 
0.416666666743.1%
 

cbo_max
Real number (ℝ≥0)

ZEROS

Distinct68
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0710910613
Minimum0
Maximum1
Zeros5
Zeros (%)3.8%
Memory size1.0 KiB
2020-10-13T12:31:31.220290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.006590084643
Q10.01813784764
median0.04353083434
Q30.08434099154
95-th percentile0.2333736397
Maximum1
Range1
Interquartile range (IQR)0.06620314389

Descriptive statistics

Standard deviation0.1041791192
Coefficient of variation (CV)1.465432043
Kurtosis48.83977305
Mean0.0710910613
Median Absolute Deviation (MAD)0.02781136638
Skewness5.862864843
Sum9.241837969
Variance0.01085328888
MonotocityNot monotonic
2020-10-13T12:31:31.453737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0157194679653.8%
 
053.8%
 
0.0205562273353.8%
 
0.0145102781143.1%
 
0.076178960143.1%
 
0.235792019343.1%
 
0.233373639743.1%
 
0.0459492140343.1%
 
0.016928657843.1%
 
0.0181378476432.3%
 
Other values (58)8867.7%
 
ValueCountFrequency (%) 
053.8%
 
0.00483675937110.8%
 
0.00604594921410.8%
 
0.00725513905721.5%
 
0.008464328932.3%
 
ValueCountFrequency (%) 
110.8%
 
0.235792019343.1%
 
0.233373639743.1%
 
0.2309552610.8%
 
0.21523579221.5%
 

wmc_average
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1481248864
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:31.687475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01817119786
Q10.05361294866
median0.1042504087
Q30.1882433433
95-th percentile0.3986606789
Maximum1
Range1
Interquartile range (IQR)0.1346303947

Descriptive statistics

Standard deviation0.1449227561
Coefficient of variation (CV)0.9783822258
Kurtosis10.45680317
Mean0.1481248864
Median Absolute Deviation (MAD)0.05858952616
Skewness2.700218194
Sum19.25623524
Variance0.02100260523
MonotocityNot monotonic
2020-10-13T12:31:31.914366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0985220180543.1%
 
0.0894931712543.1%
 
0.0289860039932.3%
 
0.0898397213921.5%
 
0.113981732821.5%
 
0.137227984221.5%
 
0.085066796821.5%
 
0.19222771921.5%
 
0.188778155710.8%
 
0.0239438505410.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00011135861410.8%
 
0.00250556490210.8%
 
0.00265253302710.8%
 
0.0115161493810.8%
 
ValueCountFrequency (%) 
110.8%
 
0.654313099210.8%
 
0.622782973310.8%
 
0.57064603110.8%
 
0.556466405510.8%
 

wmc_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1401041109
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:32.141751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01741694286
Q10.06264422044
median0.103707073
Q30.1613913832
95-th percentile0.3649916467
Maximum1
Range1
Interquartile range (IQR)0.09874716279

Descriptive statistics

Standard deviation0.142156133
Coefficient of variation (CV)1.014646409
Kurtosis13.53184654
Mean0.1401041109
Median Absolute Deviation (MAD)0.04703317295
Skewness3.212372829
Sum18.21353441
Variance0.02020836615
MonotocityNot monotonic
2020-10-13T12:31:32.372708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.102600811243.1%
 
0.238847421543.1%
 
0.0368336682932.3%
 
0.102861632321.5%
 
0.130688888921.5%
 
0.109583739121.5%
 
0.183068420621.5%
 
0.0987571433421.5%
 
0.12158736510.8%
 
0.117144292510.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00649739162810.8%
 
0.00713217618610.8%
 
0.00861781320910.8%
 
0.0105160262410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.718922823610.8%
 
0.697255774510.8%
 
0.561554740210.8%
 
0.520349828210.8%
 

wmc_max
Real number (ℝ≥0)

Distinct97
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2031480071
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:32.609714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.009900990099
Q10.0602310231
median0.1237623762
Q30.3255775578
95-th percentile0.602640264
Maximum1
Range1
Interquartile range (IQR)0.2653465347

Descriptive statistics

Standard deviation0.2076758221
Coefficient of variation (CV)1.022288257
Kurtosis1.51758646
Mean0.2031480071
Median Absolute Deviation (MAD)0.08349834983
Skewness1.427133076
Sum26.40924092
Variance0.0431292471
MonotocityNot monotonic
2020-10-13T12:31:32.852663image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.60264026486.2%
 
0.409240924164.6%
 
0.0607260726143.1%
 
0.0778877887843.1%
 
0.0019801980232.3%
 
0.138613861432.3%
 
0.120132013221.5%
 
0.19801980221.5%
 
0.0844884488421.5%
 
0.00462046204621.5%
 
Other values (87)9472.3%
 
ValueCountFrequency (%) 
010.8%
 
0.0019801980232.3%
 
0.00462046204621.5%
 
0.00990099009921.5%
 
0.0112211221110.8%
 
ValueCountFrequency (%) 
110.8%
 
0.822442244210.8%
 
0.761056105610.8%
 
0.708910891110.8%
 
0.60264026486.2%
 

finalMethodsQty_stdev
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1130016117
Minimum0
Maximum1
Zeros21
Zeros (%)16.2%
Memory size1.0 KiB
2020-10-13T12:31:33.084640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03192336444
median0.07861947493
Q30.1245178339
95-th percentile0.4080117621
Maximum1
Range1
Interquartile range (IQR)0.09259446942

Descriptive statistics

Standard deviation0.1605750028
Coefficient of variation (CV)1.420997456
Kurtosis12.29103886
Mean0.1130016117
Median Absolute Deviation (MAD)0.04754032128
Skewness3.297479253
Sum14.69020952
Variance0.02578433153
MonotocityNot monotonic
2020-10-13T12:31:33.310036image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02116.2%
 
0.0824409473853.8%
 
0.166353006743.1%
 
0.279065596132.3%
 
0.0786194749321.5%
 
0.150150001721.5%
 
0.0824322178921.5%
 
0.0682322394921.5%
 
0.088860360421.5%
 
0.206491715910.8%
 
Other values (86)8666.2%
 
ValueCountFrequency (%) 
02116.2%
 
0.0110929108210.8%
 
0.0159495586910.8%
 
0.0180726913410.8%
 
0.0202724724910.8%
 
ValueCountFrequency (%) 
110.8%
 
0.786128902310.8%
 
0.74902507310.8%
 
0.732142573810.8%
 
0.588835446610.8%
 

finalMethodsQty_max
Real number (ℝ≥0)

ZEROS

Distinct27
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1584615385
Minimum0
Maximum1
Zeros21
Zeros (%)16.2%
Memory size1.0 KiB
2020-10-13T12:31:33.521003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02
median0.08
Q30.235
95-th percentile0.56
Maximum1
Range1
Interquartile range (IQR)0.215

Descriptive statistics

Standard deviation0.1911955918
Coefficient of variation (CV)1.206574123
Kurtosis4.358040694
Mean0.1584615385
Median Absolute Deviation (MAD)0.08
Skewness1.973465667
Sum20.6
Variance0.03655575432
MonotocityNot monotonic
2020-10-13T12:31:33.718551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
02116.2%
 
0.021410.8%
 
0.061310.0%
 
0.04129.2%
 
0.28118.5%
 
0.1896.9%
 
0.0886.2%
 
0.1475.4%
 
0.153.8%
 
0.2632.3%
 
Other values (17)2720.8%
 
ValueCountFrequency (%) 
02116.2%
 
0.021410.8%
 
0.04129.2%
 
0.061310.0%
 
0.0886.2%
 
ValueCountFrequency (%) 
110.8%
 
0.8410.8%
 
0.8210.8%
 
0.6621.5%
 
0.6210.8%
 

rfc_average
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3515772349
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:33.928904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06704484167
Q10.2384702241
median0.3331425203
Q30.4343146176
95-th percentile0.7584441366
Maximum1
Range1
Interquartile range (IQR)0.1958443935

Descriptive statistics

Standard deviation0.1974082307
Coefficient of variation (CV)0.5614932115
Kurtosis1.266593629
Mean0.3515772349
Median Absolute Deviation (MAD)0.1000421101
Skewness0.9205551368
Sum45.70504053
Variance0.03897000954
MonotocityNot monotonic
2020-10-13T12:31:34.157582image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0670448416743.1%
 
0.332527545443.1%
 
0.248561375332.3%
 
0.434314617621.5%
 
0.34764080621.5%
 
0.333204863421.5%
 
0.272393705721.5%
 
0.399689463721.5%
 
0.460115866310.8%
 
0.406155763810.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00266761722210.8%
 
0.0266615950810.8%
 
0.0582939960210.8%
 
0.0596726478810.8%
 
ValueCountFrequency (%) 
110.8%
 
0.922807737110.8%
 
0.913995630610.8%
 
0.857999145810.8%
 
0.855430499710.8%
 

rfc_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2127871734
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:34.383711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04150308139
Q10.124313753
median0.2132071865
Q30.2773907971
95-th percentile0.3938745402
Maximum1
Range1
Interquartile range (IQR)0.1530770441

Descriptive statistics

Standard deviation0.1259540957
Coefficient of variation (CV)0.5919252258
Kurtosis11.28418517
Mean0.2127871734
Median Absolute Deviation (MAD)0.06806213636
Skewness2.117784978
Sum27.66233254
Variance0.01586443421
MonotocityNot monotonic
2020-10-13T12:31:34.624410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.227599867643.1%
 
0.12431375343.1%
 
0.212613907232.3%
 
0.327729564121.5%
 
0.112399214121.5%
 
0.288422251121.5%
 
0.228272590621.5%
 
0.276947451821.5%
 
0.200091224110.8%
 
0.228174453610.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.0175838732710.8%
 
0.0270467578410.8%
 
0.0350588952110.8%
 
0.036874503410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.618829875910.8%
 
0.461459728710.8%
 
0.455254415510.8%
 
0.436610563110.8%
 

rfc_median
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1827935223
Minimum0
Maximum1
Zeros22
Zeros (%)16.9%
Memory size1.0 KiB
2020-10-13T12:31:34.827369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1052631579
median0.1578947368
Q30.2631578947
95-th percentile0.4736842105
Maximum1
Range1
Interquartile range (IQR)0.1578947368

Descriptive statistics

Standard deviation0.1699249316
Coefficient of variation (CV)0.9296004008
Kurtosis4.558934569
Mean0.1827935223
Median Absolute Deviation (MAD)0.09210526316
Skewness1.747849029
Sum23.76315789
Variance0.02887448236
MonotocityNot monotonic
2020-10-13T12:31:35.004918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
0.10526315793224.6%
 
02216.9%
 
0.15789473681813.8%
 
0.2105263158129.2%
 
0.3157894737107.7%
 
0.0526315789586.2%
 
0.263157894764.6%
 
0.473684210564.6%
 
0.368421052653.8%
 
0.421052631610.8%
 
Other values (10)107.7%
 
ValueCountFrequency (%) 
02216.9%
 
0.0526315789586.2%
 
0.0789473684210.8%
 
0.10526315793224.6%
 
0.131578947410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.763157894710.8%
 
0.736842105310.8%
 
0.578947368410.8%
 
0.552631578910.8%
 

rfc_max
Real number (ℝ≥0)

Distinct94
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.154907437
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:35.210333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02053941909
Q10.05860995851
median0.1115145228
Q30.2136929461
95-th percentile0.3499481328
Maximum1
Range1
Interquartile range (IQR)0.1550829876

Descriptive statistics

Standard deviation0.1465956214
Coefficient of variation (CV)0.9463433408
Kurtosis10.38727979
Mean0.154907437
Median Absolute Deviation (MAD)0.06898340249
Skewness2.63422433
Sum20.1379668
Variance0.02149027622
MonotocityNot monotonic
2020-10-13T12:31:35.444444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0383817427464.6%
 
0.102697095453.8%
 
0.302904564343.1%
 
0.293568464743.1%
 
0.216804979332.3%
 
0.178423236532.3%
 
0.165975103732.3%
 
0.0912863070532.3%
 
0.0487551867221.5%
 
0.0778008298821.5%
 
Other values (84)9573.1%
 
ValueCountFrequency (%) 
010.8%
 
0.00414937759310.8%
 
0.0062240663910.8%
 
0.0124481327810.8%
 
0.0134854771810.8%
 
ValueCountFrequency (%) 
110.8%
 
0.706431535321.5%
 
0.607883817410.8%
 
0.441908713710.8%
 
0.389004149410.8%
 

visibleFieldsQty_sum
Real number (ℝ≥0)

ZEROS

Distinct84
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09464357632
Minimum0
Maximum1
Zeros12
Zeros (%)9.2%
Memory size1.0 KiB
2020-10-13T12:31:35.683908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.004188481675
median0.02390924956
Q30.1021815009
95-th percentile0.3982547993
Maximum1
Range1
Interquartile range (IQR)0.0979930192

Descriptive statistics

Standard deviation0.1643574926
Coefficient of variation (CV)1.736594273
Kurtosis9.827003319
Mean0.09464357632
Median Absolute Deviation (MAD)0.02321116928
Skewness2.848567686
Sum12.30366492
Variance0.02701338537
MonotocityNot monotonic
2020-10-13T12:31:35.910350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0129.2%
 
0.390226876143.1%
 
0.000698080279243.1%
 
0.0425828970343.1%
 
0.0118673647532.3%
 
0.00418848167532.3%
 
0.398254799332.3%
 
0.000349040139632.3%
 
0.130191972132.3%
 
0.00209424083821.5%
 
Other values (74)8968.5%
 
ValueCountFrequency (%) 
0129.2%
 
0.000349040139632.3%
 
0.000698080279243.1%
 
0.00104712041921.5%
 
0.00139616055821.5%
 
ValueCountFrequency (%) 
110.8%
 
0.817102966810.8%
 
0.669808027910.8%
 
0.421989528821.5%
 
0.398254799332.3%
 

visibleFieldsQty_average
Real number (ℝ≥0)

ZEROS

Distinct105
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1405142177
Minimum0
Maximum1
Zeros12
Zeros (%)9.2%
Memory size1.0 KiB
2020-10-13T12:31:36.140014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03183045965
median0.07534815612
Q30.1638872915
95-th percentile0.5429354398
Maximum1
Range1
Interquartile range (IQR)0.1320568319

Descriptive statistics

Standard deviation0.1850330101
Coefficient of variation (CV)1.316827672
Kurtosis7.378432165
Mean0.1405142177
Median Absolute Deviation (MAD)0.05896199126
Skewness2.571918881
Sum18.2668483
Variance0.03423721484
MonotocityNot monotonic
2020-10-13T12:31:36.805635image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0129.2%
 
0.0389437056143.1%
 
0.140843358943.1%
 
0.12286541532.3%
 
0.0638067381621.5%
 
0.125368616821.5%
 
0.17399267421.5%
 
0.0113423162221.5%
 
0.069597069621.5%
 
0.0397363496221.5%
 
Other values (95)9573.1%
 
ValueCountFrequency (%) 
0129.2%
 
0.00523848910910.8%
 
0.005799755810.8%
 
0.00960389670110.8%
 
0.0113423162221.5%
 
ValueCountFrequency (%) 
110.8%
 
0.939246939210.8%
 
0.817104836110.8%
 
0.762820512810.8%
 
0.616311399410.8%
 

visibleFieldsQty_stdev
Real number (ℝ≥0)

ZEROS

Distinct106
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1021238637
Minimum0
Maximum1
Zeros12
Zeros (%)9.2%
Memory size1.0 KiB
2020-10-13T12:31:37.065645image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02462396376
median0.06586154786
Q30.1339645782
95-th percentile0.3025712835
Maximum1
Range1
Interquartile range (IQR)0.1093406144

Descriptive statistics

Standard deviation0.1355214826
Coefficient of variation (CV)1.327030506
Kurtosis18.00419964
Mean0.1021238637
Median Absolute Deviation (MAD)0.04279946389
Skewness3.717162256
Sum13.27610228
Variance0.01836607223
MonotocityNot monotonic
2020-10-13T12:31:37.295476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0129.2%
 
0.104976132543.1%
 
0.148791116843.1%
 
0.178702975532.3%
 
0.131258486321.5%
 
0.0770512441521.5%
 
0.0155373243221.5%
 
0.148806726221.5%
 
0.0656430305721.5%
 
0.00728407302710.8%
 
Other values (96)9673.8%
 
ValueCountFrequency (%) 
0129.2%
 
0.00694347140910.8%
 
0.00728407302710.8%
 
0.0104574596510.8%
 
0.0153617723710.8%
 
ValueCountFrequency (%) 
110.8%
 
0.621500955610.8%
 
0.585893695410.8%
 
0.578434508710.8%
 
0.536368136310.8%
 

visibleFieldsQty_max
Real number (ℝ≥0)

ZEROS

Distinct46
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04520769231
Minimum0
Maximum1
Zeros12
Zeros (%)9.2%
Memory size1.0 KiB
2020-10-13T12:31:37.544615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.003
median0.01
Q30.03175
95-th percentile0.234
Maximum1
Range1
Interquartile range (IQR)0.02875

Descriptive statistics

Standard deviation0.1072755415
Coefficient of variation (CV)2.37294885
Kurtosis48.75857578
Mean0.04520769231
Median Absolute Deviation (MAD)0.009
Skewness6.008631076
Sum5.877
Variance0.0115080418
MonotocityNot monotonic
2020-10-13T12:31:37.776346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%) 
0129.2%
 
0.00396.9%
 
0.23486.2%
 
0.00686.2%
 
0.00175.4%
 
0.00464.6%
 
0.00264.6%
 
0.00964.6%
 
0.02153.8%
 
0.02343.1%
 
Other values (36)5945.4%
 
ValueCountFrequency (%) 
0129.2%
 
0.00175.4%
 
0.00264.6%
 
0.00396.9%
 
0.00464.6%
 
ValueCountFrequency (%) 
110.8%
 
0.23486.2%
 
0.22810.8%
 
0.21710.8%
 
0.21410.8%
 

innerClassesQty_average
Real number (ℝ≥0)

ZEROS

Distinct112
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3231148339
Minimum0
Maximum1
Zeros5
Zeros (%)3.8%
Memory size1.0 KiB
2020-10-13T12:31:37.997597image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0191707643
Q10.1432171878
median0.3260232112
Q30.4619201756
95-th percentile0.6957128689
Maximum1
Range1
Interquartile range (IQR)0.3187029878

Descriptive statistics

Standard deviation0.214079398
Coefficient of variation (CV)0.6625489626
Kurtosis0.137469436
Mean0.3231148339
Median Absolute Deviation (MAD)0.1757474944
Skewness0.6123964454
Sum42.0049284
Variance0.04582998863
MonotocityNot monotonic
2020-10-13T12:31:38.224933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
053.8%
 
0.546497077443.1%
 
0.351691350743.1%
 
0.578317697832.3%
 
0.780246838121.5%
 
0.333407012221.5%
 
0.139486607121.5%
 
0.175868066821.5%
 
0.3254687521.5%
 
0.547961970121.5%
 
Other values (102)10278.5%
 
ValueCountFrequency (%) 
053.8%
 
0.00758373786410.8%
 
0.0180815972210.8%
 
0.020501968510.8%
 
0.0249162679410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.93859927410.8%
 
0.858053977310.8%
 
0.780246838121.5%
 
0.754002604210.8%
 

innerClassesQty_stdev
Real number (ℝ≥0)

ZEROS

Distinct113
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1018052912
Minimum0
Maximum1
Zeros5
Zeros (%)3.8%
Memory size1.0 KiB
2020-10-13T12:31:38.453017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.009334391893
Q10.03745008931
median0.0688445091
Q30.130664952
95-th percentile0.2286769923
Maximum1
Range1
Interquartile range (IQR)0.09321486267

Descriptive statistics

Standard deviation0.1180165148
Coefficient of variation (CV)1.159237535
Kurtosis27.09553985
Mean0.1018052912
Median Absolute Deviation (MAD)0.0389821133
Skewness4.255881597
Sum13.23468786
Variance0.01392789778
MonotocityNot monotonic
2020-10-13T12:31:38.687043image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
053.8%
 
0.0706220738543.1%
 
0.211804317243.1%
 
0.228676992332.3%
 
0.198108423221.5%
 
0.211917254921.5%
 
0.031802343321.5%
 
0.0943030733921.5%
 
0.0603805556921.5%
 
0.0300901843310.8%
 
Other values (103)10379.2%
 
ValueCountFrequency (%) 
053.8%
 
0.00758630898110.8%
 
0.00908662463610.8%
 
0.0096372185410.8%
 
0.0105893902110.8%
 
ValueCountFrequency (%) 
110.8%
 
0.571055928310.8%
 
0.408977086910.8%
 
0.388332527610.8%
 
0.273259972710.8%
 

innerClassesQty_max
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08708637731
Minimum0
Maximum1
Zeros5
Zeros (%)3.8%
Memory size1.0 KiB
2020-10-13T12:31:38.912302image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002793296089
Q10.008379888268
median0.02234636872
Q30.06983240223
95-th percentile0.3519553073
Maximum1
Range1
Interquartile range (IQR)0.06145251397

Descriptive statistics

Standard deviation0.1561364272
Coefficient of variation (CV)1.792891518
Kurtosis14.57155477
Mean0.08708637731
Median Absolute Deviation (MAD)0.01675977654
Skewness3.383904537
Sum11.32122905
Variance0.02437858391
MonotocityNot monotonic
2020-10-13T12:31:39.131102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%) 
0.0055865921792015.4%
 
0.008379888268118.5%
 
0.0195530726396.9%
 
0.351955307386.2%
 
0.00279329608964.6%
 
0.0111731843653.8%
 
053.8%
 
0.0391061452553.8%
 
0.0446927374343.1%
 
0.025139664843.1%
 
Other values (33)5340.8%
 
ValueCountFrequency (%) 
053.8%
 
0.00279329608964.6%
 
0.0055865921792015.4%
 
0.008379888268118.5%
 
0.0111731843653.8%
 
ValueCountFrequency (%) 
110.8%
 
0.927374301710.8%
 
0.513966480410.8%
 
0.427374301710.8%
 
0.351955307386.2%
 

loc_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1651274666
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:39.351449image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01653192514
Q10.07150699616
median0.12686678
Q30.1665341473
95-th percentile0.4721362615
Maximum1
Range1
Interquartile range (IQR)0.09502715118

Descriptive statistics

Standard deviation0.1824094831
Coefficient of variation (CV)1.104658643
Kurtosis9.944134073
Mean0.1651274666
Median Absolute Deviation (MAD)0.04869678207
Skewness2.961553071
Sum21.46657066
Variance0.03327321953
MonotocityNot monotonic
2020-10-13T12:31:39.595829image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.138934490143.1%
 
0.142796930143.1%
 
0.0418437413332.3%
 
121.5%
 
0.146554416621.5%
 
0.139226716421.5%
 
0.156517871921.5%
 
0.177719884321.5%
 
0.162757442410.8%
 
0.026159765810.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00388142570410.8%
 
0.00660371636410.8%
 
0.0096987065210.8%
 
0.0125029570210.8%
 
ValueCountFrequency (%) 
121.5%
 
0.943566142510.8%
 
0.826312657410.8%
 
0.822347683310.8%
 
0.505776479910.8%
 

loc_max
Real number (ℝ≥0)

Distinct108
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1106836549
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:39.836472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004850884791
Q10.02558470486
median0.04931320381
Q30.127304789
95-th percentile0.3074836035
Maximum1
Range1
Interquartile range (IQR)0.1017200841

Descriptive statistics

Standard deviation0.1634848126
Coefficient of variation (CV)1.477045664
Kurtosis14.1153069
Mean0.1106836549
Median Absolute Deviation (MAD)0.03734067566
Skewness3.371471125
Sum14.38887514
Variance0.02672728395
MonotocityNot monotonic
2020-10-13T12:31:40.078325image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.293837396486.2%
 
0.0933671575343.1%
 
0.0256775151632.3%
 
0.0061254795232.3%
 
0.0465907684732.3%
 
121.5%
 
0.0675040217821.5%
 
0.0600791981221.5%
 
0.241121148421.5%
 
0.0716495483221.5%
 
Other values (98)9976.2%
 
ValueCountFrequency (%) 
010.8%
 
0.000928102957610.8%
 
0.00179433238510.8%
 
0.00222744709810.8%
 
0.00327929711710.8%
 
ValueCountFrequency (%) 
121.5%
 
0.697500309410.8%
 
0.693354782810.8%
 
0.380645959710.8%
 
0.342284370710.8%
 

staticMethodsQty_average
Real number (ℝ≥0)

Distinct116
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06696397141
Minimum0
Maximum0.7939849624
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:40.308360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.007759888853
Q10.02199832042
median0.04541353383
Q30.0759006521
95-th percentile0.151287594
Maximum0.7939849624
Range0.7939849624
Interquartile range (IQR)0.05390233169

Descriptive statistics

Standard deviation0.09732808235
Coefficient of variation (CV)1.453439518
Kurtosis29.46899014
Mean0.06696397141
Median Absolute Deviation (MAD)0.02516290727
Skewness4.913400158
Sum8.705316283
Variance0.009472755614
MonotocityNot monotonic
2020-10-13T12:31:40.545852image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.075900652143.1%
 
0.0219919167343.1%
 
0.0458753374332.3%
 
0.0186002868721.5%
 
0.120199317921.5%
 
0.117615467221.5%
 
0.0220065497221.5%
 
0.0902255639121.5%
 
0.0127035993521.5%
 
0.00157370169610.8%
 
Other values (106)10681.5%
 
ValueCountFrequency (%) 
010.8%
 
0.00157370169610.8%
 
0.00388066941510.8%
 
0.00496654480210.8%
 
0.00560464297210.8%
 
ValueCountFrequency (%) 
0.793984962410.8%
 
0.508447589610.8%
 
0.487218045110.8%
 
0.384645825110.8%
 
0.173684210510.8%
 

staticMethodsQty_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08803179786
Minimum0
Maximum0.6313443194
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:40.786631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01484408892
Q10.04048005517
median0.0596807477
Q30.1048553713
95-th percentile0.2037273316
Maximum0.6313443194
Range0.6313443194
Interquartile range (IQR)0.06437531611

Descriptive statistics

Standard deviation0.08722546397
Coefficient of variation (CV)0.9908404247
Kurtosis14.37935797
Mean0.08803179786
Median Absolute Deviation (MAD)0.02982878897
Skewness3.229658366
Sum11.44413372
Variance0.007608281565
MonotocityNot monotonic
2020-10-13T12:31:40.999474image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.189833156943.1%
 
0.0568059200343.1%
 
0.0590299143832.3%
 
0.0301675763721.5%
 
0.0568485780721.5%
 
0.120436869721.5%
 
0.130694219221.5%
 
0.0591766818521.5%
 
0.133691102610.8%
 
0.0568529433210.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00420045274210.8%
 
0.00852574647110.8%
 
0.0104566389310.8%
 
0.0110185648410.8%
 
ValueCountFrequency (%) 
0.631344319410.8%
 
0.468581409110.8%
 
0.386307521410.8%
 
0.325539964910.8%
 
0.308030888810.8%
 
Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
127 
0.1666666667
 
2
1
 
1
ValueCountFrequency (%) 
012797.7%
 
0.166666666721.5%
 
110.8%
 
2020-10-13T12:31:41.224140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.8%

staticMethodsQty_max
Real number (ℝ≥0)

Distinct60
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1216283716
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:41.430000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0112012987
Q10.03246753247
median0.07467532468
Q30.1866883117
95-th percentile0.3149350649
Maximum1
Range1
Interquartile range (IQR)0.1542207792

Descriptive statistics

Standard deviation0.129095238
Coefficient of variation (CV)1.061390827
Kurtosis15.8694164
Mean0.1216283716
Median Absolute Deviation (MAD)0.05519480519
Skewness2.986363568
Sum15.81168831
Variance0.01666558047
MonotocityNot monotonic
2020-10-13T12:31:41.670728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.214285714386.2%
 
0.0876623376664.6%
 
0.048701298753.8%
 
0.0259740259753.8%
 
0.0519480519543.1%
 
0.0194805194843.1%
 
0.0129870129943.1%
 
0.0389610389643.1%
 
0.314935064943.1%
 
0.0162337662343.1%
 
Other values (50)8263.1%
 
ValueCountFrequency (%) 
010.8%
 
0.00324675324732.3%
 
0.00649350649410.8%
 
0.0097402597421.5%
 
0.0129870129943.1%
 
ValueCountFrequency (%) 
110.8%
 
0.483766233810.8%
 
0.418831168810.8%
 
0.415584415610.8%
 
0.353896103910.8%
 

nosi_average
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1687814393
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:41.901498image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02612811261
Q10.07684368791
median0.119821742
Q30.2020877244
95-th percentile0.476746462
Maximum1
Range1
Interquartile range (IQR)0.1252440365

Descriptive statistics

Standard deviation0.152537653
Coefficient of variation (CV)0.9037584561
Kurtosis7.109599663
Mean0.1687814393
Median Absolute Deviation (MAD)0.04908478303
Skewness2.279808112
Sum21.94158711
Variance0.02326773558
MonotocityNot monotonic
2020-10-13T12:31:42.134477image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.12124525643.1%
 
0.0976804028343.1%
 
0.0768436879132.3%
 
0.0713541034521.5%
 
0.097598267621.5%
 
0.116319919821.5%
 
0.0620655166321.5%
 
0.121661074121.5%
 
0.0955653429610.8%
 
0.480146991310.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.0127698667910.8%
 
0.0175757306310.8%
 
0.0216385522810.8%
 
0.0224937103110.8%
 
ValueCountFrequency (%) 
110.8%
 
0.639855458610.8%
 
0.63983753610.8%
 
0.5534610510.8%
 
0.509311303210.8%
 

nosi_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08024911133
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:42.366871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01434416726
Q10.03418983789
median0.05524826743
Q30.09161537902
95-th percentile0.2158601482
Maximum1
Range1
Interquartile range (IQR)0.05742554114

Descriptive statistics

Standard deviation0.1036787372
Coefficient of variation (CV)1.291961187
Kurtosis48.48664075
Mean0.08024911133
Median Absolute Deviation (MAD)0.02402576251
Skewness5.960575426
Sum10.43238447
Variance0.01074928054
MonotocityNot monotonic
2020-10-13T12:31:42.602377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0664417869343.1%
 
0.125474065643.1%
 
0.0341898378932.3%
 
0.0385385711821.5%
 
0.0416112629521.5%
 
0.0666608005821.5%
 
0.0548508507321.5%
 
0.0287206975221.5%
 
0.10553959710.8%
 
0.0637387407210.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.0036671772310.8%
 
0.010344993310.8%
 
0.0118262912210.8%
 
0.0127568265410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.360304579310.8%
 
0.349485892310.8%
 
0.321969449710.8%
 
0.261425157410.8%
 

nosi_median
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05475113122
Minimum0
Maximum0.7058823529
Zeros98
Zeros (%)75.4%
Memory size1.0 KiB
2020-10-13T12:31:42.786368image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.3
Maximum0.7058823529
Range0.7058823529
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1221633061
Coefficient of variation (CV)2.231247162
Kurtosis9.803097934
Mean0.05475113122
Median Absolute Deviation (MAD)0
Skewness2.946836913
Sum7.117647059
Variance0.01492387337
MonotocityNot monotonic
2020-10-13T12:31:42.937566image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
09875.4%
 
0.11764705881713.1%
 
0.235294117675.4%
 
0.352941176532.3%
 
0.470588235321.5%
 
0.588235294110.8%
 
0.705882352910.8%
 
0.176470588210.8%
 
ValueCountFrequency (%) 
09875.4%
 
0.11764705881713.1%
 
0.176470588210.8%
 
0.235294117675.4%
 
0.352941176532.3%
 
ValueCountFrequency (%) 
0.705882352910.8%
 
0.588235294110.8%
 
0.470588235321.5%
 
0.352941176532.3%
 
0.235294117675.4%
 

nosi_max
Real number (ℝ≥0)

Distinct81
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04468250558
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:43.147815image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002394253791
Q10.009577015164
median0.02420856611
Q30.05812716148
95-th percentile0.1054269753
Maximum1
Range1
Interquartile range (IQR)0.04855014632

Descriptive statistics

Standard deviation0.09188447761
Coefficient of variation (CV)2.056385971
Kurtosis91.90633719
Mean0.04468250558
Median Absolute Deviation (MAD)0.01729183293
Skewness8.887161966
Sum5.808725725
Variance0.008442757226
MonotocityNot monotonic
2020-10-13T12:31:43.382823image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0912476722586.2%
 
0.0867251928743.1%
 
0.00877893056743.1%
 
0.0372439478632.3%
 
0.0053205639832.3%
 
0.0159616919432.3%
 
0.0111731843632.3%
 
0.00239425379132.3%
 
0.0138334663532.3%
 
0.0125033253532.3%
 
Other values (71)9371.5%
 
ValueCountFrequency (%) 
010.8%
 
0.00026602819910.8%
 
0.00186219739310.8%
 
0.00212822559221.5%
 
0.00239425379132.3%
 
ValueCountFrequency (%) 
110.8%
 
0.179835062510.8%
 
0.148975791410.8%
 
0.115456238410.8%
 
0.114658153810.8%
 

variablesQty_average
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2221537552
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:43.608749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0431268459
Q10.1164441725
median0.1833538461
Q30.2429537713
95-th percentile0.6663826553
Maximum1
Range1
Interquartile range (IQR)0.1265095988

Descriptive statistics

Standard deviation0.1855669373
Coefficient of variation (CV)0.8353085779
Kurtosis4.660605223
Mean0.2221537552
Median Absolute Deviation (MAD)0.06578163576
Skewness2.109714469
Sum28.87998817
Variance0.03443508822
MonotocityNot monotonic
2020-10-13T12:31:43.851445image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.118927581843.1%
 
0.183353846143.1%
 
0.0761245963332.3%
 
0.18379213721.5%
 
0.201815128721.5%
 
0.182057807521.5%
 
0.177807381921.5%
 
0.154112152821.5%
 
0.28212346510.8%
 
0.0265785418110.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00178033967510.8%
 
0.0265785418110.8%
 
0.028226698410.8%
 
0.0347558135410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.863720431710.8%
 
0.836571706110.8%
 
0.792225297510.8%
 
0.792164945710.8%
 

variablesQty_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2001697455
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:44.072759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02440124077
Q10.1036372445
median0.173581251
Q30.229867377
95-th percentile0.5189703043
Maximum1
Range1
Interquartile range (IQR)0.1262301325

Descriptive statistics

Standard deviation0.1680088577
Coefficient of variation (CV)0.839331924
Kurtosis7.361158559
Mean0.2001697455
Median Absolute Deviation (MAD)0.06704153414
Skewness2.304496277
Sum26.02206692
Variance0.02822697625
MonotocityNot monotonic
2020-10-13T12:31:44.305817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.214158146343.1%
 
0.306091770543.1%
 
0.106539716932.3%
 
0.154079742121.5%
 
0.214702334321.5%
 
0.172564210921.5%
 
0.206988792121.5%
 
0.217317011421.5%
 
0.0659301742110.8%
 
0.238553773110.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00974359046510.8%
 
0.0101066977410.8%
 
0.0128548143810.8%
 
0.0206204009610.8%
 
ValueCountFrequency (%) 
110.8%
 
0.956520293510.8%
 
0.793821228810.8%
 
0.690515688510.8%
 
0.632509353910.8%
 

variablesQty_max
Real number (ℝ≥0)

Distinct91
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1786767965
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:44.549849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01152263374
Q10.04032921811
median0.1074074074
Q30.279218107
95-th percentile0.4847736626
Maximum1
Range1
Interquartile range (IQR)0.2388888889

Descriptive statistics

Standard deviation0.1937059753
Coefficient of variation (CV)1.084113769
Kurtosis4.256736961
Mean0.1786767965
Median Absolute Deviation (MAD)0.08024691358
Skewness1.93419441
Sum23.22798354
Variance0.03752200487
MonotocityNot monotonic
2020-10-13T12:31:44.796006image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.333333333364.6%
 
0.349794238743.1%
 
0.354732510343.1%
 
0.123456790143.1%
 
0.0238683127632.3%
 
0.0724279835432.3%
 
0.0641975308632.3%
 
0.032921810721.5%
 
0.113580246921.5%
 
0.0403292181121.5%
 
Other values (81)9774.6%
 
ValueCountFrequency (%) 
010.8%
 
0.00246913580210.8%
 
0.00823045267510.8%
 
0.00905349794221.5%
 
0.0106995884810.8%
 
ValueCountFrequency (%) 
110.8%
 
0.820576131721.5%
 
0.819753086410.8%
 
0.776954732510.8%
 
0.747325102910.8%
 

tryCatchQty_sum
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1191556557
Minimum0
Maximum1
Zeros2
Zeros (%)1.5%
Memory size1.0 KiB
2020-10-13T12:31:45.035896image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0005437194851
Q10.005437194851
median0.02685308478
Q30.09343098091
95-th percentile0.6246671105
Maximum1
Range1
Interquartile range (IQR)0.08799378606

Descriptive statistics

Standard deviation0.2107242447
Coefficient of variation (CV)1.768478747
Kurtosis4.094379505
Mean0.1191556557
Median Absolute Deviation (MAD)0.02463382157
Skewness2.22320376
Sum15.49023524
Variance0.04440470731
MonotocityNot monotonic
2020-10-13T12:31:45.260595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0337328007153.8%
 
0.624056813143.1%
 
0.000221926320532.3%
 
0.00133155792332.3%
 
0.00221926320532.3%
 
0.0241899689332.3%
 
0.000665778961421.5%
 
0.0137594318721.5%
 
0.625832223721.5%
 
0.000443852640921.5%
 
Other values (89)10177.7%
 
ValueCountFrequency (%) 
021.5%
 
0.000221926320532.3%
 
0.000443852640921.5%
 
0.000665778961421.5%
 
0.000887705281810.8%
 
ValueCountFrequency (%) 
110.8%
 
0.817576564610.8%
 
0.788948069210.8%
 
0.633821571210.8%
 
0.625832223721.5%
 

tryCatchQty_average
Real number (ℝ≥0)

ZEROS

Distinct114
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07894577329
Minimum0
Maximum1
Zeros2
Zeros (%)1.5%
Memory size1.0 KiB
2020-10-13T12:31:45.493385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.005853328173
Q10.02570659411
median0.04366083351
Q30.09140891921
95-th percentile0.2259621598
Maximum1
Range1
Interquartile range (IQR)0.0657023251

Descriptive statistics

Standard deviation0.1194370952
Coefficient of variation (CV)1.512900441
Kurtosis29.12832066
Mean0.07894577329
Median Absolute Deviation (MAD)0.02269924288
Skewness4.664551475
Sum10.26295053
Variance0.01426521971
MonotocityNot monotonic
2020-10-13T12:31:45.722535image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0529690549243.1%
 
0.0295673825143.1%
 
0.010838006632.3%
 
0.0403212958921.5%
 
0.0294117647121.5%
 
0.0547802269521.5%
 
0.0286677908921.5%
 
0.162815126121.5%
 
0.0296451413521.5%
 
021.5%
 
Other values (104)10580.8%
 
ValueCountFrequency (%) 
021.5%
 
0.00151920272210.8%
 
0.00159846547310.8%
 
0.0017099863210.8%
 
0.00269832703710.8%
 
ValueCountFrequency (%) 
110.8%
 
0.502450980410.8%
 
0.457241720210.8%
 
0.449413702910.8%
 
0.396741430410.8%
 

tryCatchQty_stdev
Real number (ℝ≥0)

ZEROS

Distinct116
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06510875957
Minimum0
Maximum1
Zeros2
Zeros (%)1.5%
Memory size1.0 KiB
2020-10-13T12:31:45.953057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.009261919189
Q10.02223255431
median0.03941263774
Q30.06613844256
95-th percentile0.1715253726
Maximum1
Range1
Interquartile range (IQR)0.04390588826

Descriptive statistics

Standard deviation0.106184443
Coefficient of variation (CV)1.630877992
Kurtosis49.12142551
Mean0.06510875957
Median Absolute Deviation (MAD)0.02068097179
Skewness6.250966346
Sum8.464138744
Variance0.01127513594
MonotocityNot monotonic
2020-10-13T12:31:46.181282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0309467629843.1%
 
0.0636488739643.1%
 
0.0155080094732.3%
 
0.0309799399221.5%
 
0.0198464480921.5%
 
021.5%
 
0.0426568422921.5%
 
0.0449150014621.5%
 
0.151976096121.5%
 
0.0259214289610.8%
 
Other values (106)10681.5%
 
ValueCountFrequency (%) 
021.5%
 
0.00344809972310.8%
 
0.00356635446110.8%
 
0.00445918500810.8%
 
0.00450164845610.8%
 
ValueCountFrequency (%) 
110.8%
 
0.502883800910.8%
 
0.410487044610.8%
 
0.24230196310.8%
 
0.175266154810.8%
 
Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
127 
0.6666666667
 
2
1
 
1
ValueCountFrequency (%) 
012797.7%
 
0.666666666721.5%
 
110.8%
 
2020-10-13T12:31:46.395518image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.8%

tryCatchQty_max
Real number (ℝ≥0)

ZEROS

Distinct49
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05117364253
Minimum0
Maximum1
Zeros2
Zeros (%)1.5%
Memory size1.0 KiB
2020-10-13T12:31:46.609536image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001838235294
Q10.009650735294
median0.02573529412
Q30.06387867647
95-th percentile0.1178308824
Maximum1
Range1
Interquartile range (IQR)0.05422794118

Descriptive statistics

Standard deviation0.1119704189
Coefficient of variation (CV)2.18804864
Kurtosis51.93095452
Mean0.05117364253
Median Absolute Deviation (MAD)0.01838235294
Skewness6.833089978
Sum6.652573529
Variance0.01253737472
MonotocityNot monotonic
2020-10-13T12:31:46.836507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%) 
0.0110294117696.9%
 
0.0661764705996.9%
 
0.00367647058886.2%
 
0.00735294117686.2%
 
0.0238970588264.6%
 
0.00183823529464.6%
 
0.00919117647153.8%
 
0.0404411764753.8%
 
0.0202205882443.1%
 
0.0477941176543.1%
 
Other values (39)6650.8%
 
ValueCountFrequency (%) 
021.5%
 
0.00183823529464.6%
 
0.00367647058886.2%
 
0.00551470588243.1%
 
0.00735294117686.2%
 
ValueCountFrequency (%) 
110.8%
 
0.759191176510.8%
 
0.272058823510.8%
 
0.139705882410.8%
 
0.136029411810.8%
 

maxNestedBlocksQty_average
Real number (ℝ≥0)

Distinct115
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2380881285
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:47.059216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02925331525
Q10.1096257541
median0.2047411881
Q30.3597838088
95-th percentile0.4959192499
Maximum1
Range1
Interquartile range (IQR)0.2501580547

Descriptive statistics

Standard deviation0.1755478237
Coefficient of variation (CV)0.7373228762
Kurtosis2.482290571
Mean0.2380881285
Median Absolute Deviation (MAD)0.1264324123
Skewness1.256561527
Sum30.9514567
Variance0.03081703841
MonotocityNot monotonic
2020-10-13T12:31:47.287740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.142954889843.1%
 
0.116683664343.1%
 
0.0540478085632.3%
 
0.143616458121.5%
 
0.181733980721.5%
 
0.296112115721.5%
 
0.147377644721.5%
 
0.396402398421.5%
 
0.0316455696221.5%
 
0.210408350621.5%
 
Other values (105)10580.8%
 
ValueCountFrequency (%) 
010.8%
 
0.00204164965310.8%
 
0.0140646976110.8%
 
0.0231226869710.8%
 
0.0271247739610.8%
 
ValueCountFrequency (%) 
110.8%
 
0.791139240510.8%
 
0.727447524410.8%
 
0.696202531610.8%
 
0.639240506310.8%
 

maxNestedBlocksQty_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3789981368
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:47.526329image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04931070345
Q10.2389283003
median0.3371729162
Q30.5273597932
95-th percentile0.7823389421
Maximum1
Range1
Interquartile range (IQR)0.2884314929

Descriptive statistics

Standard deviation0.2157072296
Coefficient of variation (CV)0.569151161
Kurtosis-0.1650918986
Mean0.3789981368
Median Absolute Deviation (MAD)0.1378477517
Skewness0.4604347132
Sum49.26975778
Variance0.04652960889
MonotocityNot monotonic
2020-10-13T12:31:47.766929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.330367706143.1%
 
0.536014877843.1%
 
0.149511340832.3%
 
0.405529810121.5%
 
0.363221227421.5%
 
0.29938959721.5%
 
0.331550380121.5%
 
0.450168326621.5%
 
0.0762345214510.8%
 
0.17266505910.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00369298204110.8%
 
0.00691286127610.8%
 
0.0131295165210.8%
 
0.0145751490310.8%
 
ValueCountFrequency (%) 
110.8%
 
0.899672701910.8%
 
0.859053929910.8%
 
0.820926135510.8%
 
0.812319999310.8%
 

maxNestedBlocksQty_median
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1243589744
Minimum0
Maximum1
Zeros89
Zeros (%)68.5%
Memory size1.0 KiB
2020-10-13T12:31:48.528344image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.3333333333
95-th percentile0.3333333333
Maximum1
Range1
Interquartile range (IQR)0.3333333333

Descriptive statistics

Standard deviation0.2057648266
Coefficient of variation (CV)1.65460376
Kurtosis3.920231954
Mean0.1243589744
Median Absolute Deviation (MAD)0
Skewness1.827768792
Sum16.16666667
Variance0.04233916385
MonotocityNot monotonic
2020-10-13T12:31:48.678740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
08968.5%
 
0.33333333333526.9%
 
0.666666666732.3%
 
121.5%
 
0.510.8%
 
ValueCountFrequency (%) 
08968.5%
 
0.33333333333526.9%
 
0.510.8%
 
0.666666666732.3%
 
121.5%
 
ValueCountFrequency (%) 
121.5%
 
0.666666666732.3%
 
0.510.8%
 
0.33333333333526.9%
 
08968.5%
 

maxNestedBlocksQty_max
Real number (ℝ≥0)

Distinct16
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2113960114
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:48.841627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07407407407
Q10.1481481481
median0.1851851852
Q30.2592592593
95-th percentile0.4444444444
Maximum1
Range1
Interquartile range (IQR)0.1111111111

Descriptive statistics

Standard deviation0.1270880956
Coefficient of variation (CV)0.6011849268
Kurtosis10.92025824
Mean0.2113960114
Median Absolute Deviation (MAD)0.07407407407
Skewness2.298881862
Sum27.48148148
Variance0.01615138405
MonotocityNot monotonic
2020-10-13T12:31:49.009725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
0.18518518522317.7%
 
0.14814814812015.4%
 
0.25925925931713.1%
 
0.11111111111612.3%
 
0.22222222221310.0%
 
0.3333333333107.7%
 
0.0740740740796.9%
 
0.0370370370453.8%
 
0.296296296353.8%
 
0.444444444453.8%
 
Other values (6)75.4%
 
ValueCountFrequency (%) 
010.8%
 
0.0370370370453.8%
 
0.0740740740796.9%
 
0.11111111111612.3%
 
0.14814814812015.4%
 
ValueCountFrequency (%) 
110.8%
 
0.592592592610.8%
 
0.518518518510.8%
 
0.444444444453.8%
 
0.407407407421.5%
 

lambdasQty_average
Real number (ℝ≥0)

ZEROS

Distinct27
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06890529562
Minimum0
Maximum1
Zeros95
Zeros (%)73.1%
Memory size1.0 KiB
2020-10-13T12:31:49.186937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.005403533308
95-th percentile0.4023851392
Maximum1
Range1
Interquartile range (IQR)0.005403533308

Descriptive statistics

Standard deviation0.1661357976
Coefficient of variation (CV)2.411074448
Kurtosis10.88124346
Mean0.06890529562
Median Absolute Deviation (MAD)0
Skewness3.095836544
Sum8.95768843
Variance0.02760110325
MonotocityNot monotonic
2020-10-13T12:31:49.379501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
09573.1%
 
0.312366988843.1%
 
0.0559540889532.3%
 
0.132362884332.3%
 
0.314705251621.5%
 
0.414720761821.5%
 
0.0624249699910.8%
 
0.482336158410.8%
 
110.8%
 
0.096879968210.8%
 
Other values (17)1713.1%
 
ValueCountFrequency (%) 
09573.1%
 
0.00244610682510.8%
 
0.00289113755110.8%
 
0.0062409985610.8%
 
0.0244347964210.8%
 
ValueCountFrequency (%) 
110.8%
 
0.750417260310.8%
 
0.741914031810.8%
 
0.482336158410.8%
 
0.471590339710.8%
 

lambdasQty_max
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04197324415
Minimum0
Maximum1
Zeros95
Zeros (%)73.1%
Memory size1.0 KiB
2020-10-13T12:31:49.572281image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01019021739
95-th percentile0.2826086957
Maximum1
Range1
Interquartile range (IQR)0.01019021739

Descriptive statistics

Standard deviation0.1168285042
Coefficient of variation (CV)2.783404203
Kurtosis35.23195595
Mean0.04197324415
Median Absolute Deviation (MAD)0
Skewness5.05636662
Sum5.456521739
Variance0.01364889939
MonotocityNot monotonic
2020-10-13T12:31:49.761293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
09573.1%
 
0.282608695743.1%
 
0.298913043543.1%
 
0.0570652173943.1%
 
0.0353260869632.3%
 
0.0108695652232.3%
 
0.0978260869621.5%
 
0.130434782621.5%
 
0.260869565210.8%
 
0.15217391310.8%
 
Other values (11)118.5%
 
ValueCountFrequency (%) 
09573.1%
 
0.00543478260910.8%
 
0.00815217391310.8%
 
0.0108695652232.3%
 
0.0135869565210.8%
 
ValueCountFrequency (%) 
110.8%
 
0.298913043543.1%
 
0.282608695743.1%
 
0.260869565210.8%
 
0.233695652210.8%
 

lcom_stdev
Real number (ℝ≥0)

ZEROS

Distinct116
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0537942878
Minimum0
Maximum1
Zeros2
Zeros (%)1.5%
Memory size1.0 KiB
2020-10-13T12:31:49.967122image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00103444473
Q10.007390745763
median0.02189644448
Q30.03759464686
95-th percentile0.1907352031
Maximum1
Range1
Interquartile range (IQR)0.03020390109

Descriptive statistics

Standard deviation0.1257781854
Coefficient of variation (CV)2.338132738
Kurtosis31.97344851
Mean0.0537942878
Median Absolute Deviation (MAD)0.01465885212
Skewness5.257365003
Sum6.993257414
Variance0.01582015192
MonotocityNot monotonic
2020-10-13T12:31:50.196779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0298169015343.1%
 
0.027981538543.1%
 
0.00892608906332.3%
 
021.5%
 
0.109699465521.5%
 
0.0072666615321.5%
 
0.0223814156521.5%
 
0.0327735161521.5%
 
0.030037242221.5%
 
0.0105258184110.8%
 
Other values (106)10681.5%
 
ValueCountFrequency (%) 
021.5%
 
0.000222038148610.8%
 
0.000514014328910.8%
 
0.00052316433210.8%
 
0.000708056687910.8%
 
ValueCountFrequency (%) 
110.8%
 
0.721693702810.8%
 
0.549664493110.8%
 
0.376537817210.8%
 
0.331541356510.8%
 

lcom_median
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05641025641
Minimum0
Maximum1
Zeros90
Zeros (%)69.2%
Memory size1.0 KiB
2020-10-13T12:31:50.387080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.06666666667
95-th percentile0.3333333333
Maximum1
Range1
Interquartile range (IQR)0.06666666667

Descriptive statistics

Standard deviation0.1355656891
Coefficient of variation (CV)2.403209943
Kurtosis20.98706646
Mean0.05641025641
Median Absolute Deviation (MAD)0
Skewness4.040811852
Sum7.333333333
Variance0.01837805605
MonotocityNot monotonic
2020-10-13T12:31:50.558713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
09069.2%
 
0.066666666672116.2%
 
0.286.2%
 
0.432.3%
 
0.333333333321.5%
 
0.366666666710.8%
 
0.0333333333310.8%
 
0.266666666710.8%
 
0.133333333310.8%
 
0.666666666710.8%
 
ValueCountFrequency (%) 
09069.2%
 
0.0333333333310.8%
 
0.066666666672116.2%
 
0.133333333310.8%
 
0.286.2%
 
ValueCountFrequency (%) 
110.8%
 
0.666666666710.8%
 
0.432.3%
 
0.366666666710.8%
 
0.333333333321.5%
 

abstractMethodsQty_average
Real number (ℝ≥0)

Distinct116
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1657472361
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:50.782527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02292827816
Q10.07503487529
median0.1360311605
Q30.209091612
95-th percentile0.3476368601
Maximum1
Range1
Interquartile range (IQR)0.1340567368

Descriptive statistics

Standard deviation0.1469147675
Coefficient of variation (CV)0.8863783849
Kurtosis14.2083483
Mean0.1657472361
Median Absolute Deviation (MAD)0.0631051483
Skewness3.165847648
Sum21.5471407
Variance0.0215839489
MonotocityNot monotonic
2020-10-13T12:31:51.009376image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0637428030743.1%
 
0.136031160543.1%
 
0.05287858632.3%
 
0.116765342621.5%
 
0.234597984621.5%
 
0.175937523521.5%
 
0.136270384321.5%
 
0.164092810121.5%
 
0.248853922421.5%
 
0.22036418610.8%
 
Other values (106)10681.5%
 
ValueCountFrequency (%) 
010.8%
 
0.00415485868210.8%
 
0.00807857611610.8%
 
0.0167930643810.8%
 
0.0168564708410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.950674385810.8%
 
0.706547856510.8%
 
0.522441052310.8%
 
0.470791467210.8%
 

abstractMethodsQty_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1501832568
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:51.235673image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0409027185
Q10.08386537206
median0.123342867
Q30.164836552
95-th percentile0.3321675873
Maximum1
Range1
Interquartile range (IQR)0.08097117997

Descriptive statistics

Standard deviation0.1413775121
Coefficient of variation (CV)0.9413666685
Kurtosis19.61409514
Mean0.1501832568
Median Absolute Deviation (MAD)0.03986132298
Skewness3.9874697
Sum19.52382338
Variance0.01998760093
MonotocityNot monotonic
2020-10-13T12:31:51.457605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.125053019543.1%
 
0.115791745843.1%
 
0.0714618259832.3%
 
0.0933576736921.5%
 
0.157242368421.5%
 
0.128539829221.5%
 
0.187136274721.5%
 
0.125243645121.5%
 
0.269759391510.8%
 
0.166211706410.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.0117041366410.8%
 
0.0334113675110.8%
 
0.0349449741510.8%
 
0.0360926123510.8%
 
ValueCountFrequency (%) 
110.8%
 
0.957436761910.8%
 
0.765417893610.8%
 
0.48537599510.8%
 
0.405104231110.8%
 

protectedMethodsQty_average
Real number (ℝ≥0)

ZEROS

Distinct108
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08943480558
Minimum0
Maximum1
Zeros10
Zeros (%)7.7%
Memory size1.0 KiB
2020-10-13T12:31:51.694748image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03206910772
median0.07013111172
Q30.1302307833
95-th percentile0.2195785467
Maximum1
Range1
Interquartile range (IQR)0.09816167558

Descriptive statistics

Standard deviation0.1032318568
Coefficient of variation (CV)1.154269371
Kurtosis46.6515574
Mean0.08943480558
Median Absolute Deviation (MAD)0.04059453347
Skewness5.565231526
Sum11.62652473
Variance0.01065681626
MonotocityNot monotonic
2020-10-13T12:31:51.931755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0107.7%
 
0.133533697643.1%
 
0.056554873943.1%
 
0.0320691077232.3%
 
0.0701311117221.5%
 
0.133656231121.5%
 
0.100812725521.5%
 
0.131824492821.5%
 
0.097202867121.5%
 
0.0614493170810.8%
 
Other values (98)9875.4%
 
ValueCountFrequency (%) 
0107.7%
 
0.00145241947310.8%
 
0.00269735045110.8%
 
0.00457199331310.8%
 
0.00839175695810.8%
 
ValueCountFrequency (%) 
110.8%
 
0.324208366410.8%
 
0.251752708710.8%
 
0.241682600410.8%
 
0.237366839710.8%
 

protectedMethodsQty_stdev
Real number (ℝ≥0)

ZEROS

Distinct108
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1270499038
Minimum0
Maximum1
Zeros10
Zeros (%)7.7%
Memory size1.0 KiB
2020-10-13T12:31:52.179137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.05787766602
median0.1069818729
Q30.172909029
95-th percentile0.2678076848
Maximum1
Range1
Interquartile range (IQR)0.115031363

Descriptive statistics

Standard deviation0.1157033912
Coefficient of variation (CV)0.9106924738
Kurtosis26.06798714
Mean0.1270499038
Median Absolute Deviation (MAD)0.05640241904
Skewness3.949463325
Sum16.51648749
Variance0.01338727473
MonotocityNot monotonic
2020-10-13T12:31:52.569025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0107.7%
 
0.0848481327743.1%
 
0.20189745243.1%
 
0.0841651207232.3%
 
0.2019574921.5%
 
0.11042612521.5%
 
0.172616203621.5%
 
0.267970993521.5%
 
0.0693213329421.5%
 
0.0453819287110.8%
 
Other values (98)9875.4%
 
ValueCountFrequency (%) 
0107.7%
 
0.00840612532310.8%
 
0.0114556178310.8%
 
0.0179473550710.8%
 
0.0200630115510.8%
 
ValueCountFrequency (%) 
110.8%
 
0.603524338110.8%
 
0.348163509710.8%
 
0.296208113210.8%
 
0.290296567310.8%
 

protectedMethodsQty_median
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
130 
ValueCountFrequency (%) 
0130100.0%
 

protectedMethodsQty_max
Real number (ℝ≥0)

ZEROS

Distinct37
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1253722084
Minimum0
Maximum1
Zeros10
Zeros (%)7.7%
Memory size1.0 KiB
2020-10-13T12:31:52.795627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02419354839
median0.07258064516
Q30.1612903226
95-th percentile0.3314516129
Maximum1
Range1
Interquartile range (IQR)0.1370967742

Descriptive statistics

Standard deviation0.1617806735
Coefficient of variation (CV)1.290402997
Kurtosis12.97706398
Mean0.1253722084
Median Absolute Deviation (MAD)0.0564516129
Skewness3.06808709
Sum16.2983871
Variance0.02617298633
MonotocityNot monotonic
2020-10-13T12:31:53.007781image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
0107.7%
 
0.04032258065107.7%
 
0.2822580645107.7%
 
0.02419354839107.7%
 
0.0161290322696.9%
 
0.00806451612986.2%
 
0.0806451612975.4%
 
0.0483870967764.6%
 
0.0322580645264.6%
 
0.137096774253.8%
 
Other values (27)4937.7%
 
ValueCountFrequency (%) 
0107.7%
 
0.00806451612986.2%
 
0.0161290322696.9%
 
0.02419354839107.7%
 
0.0322580645264.6%
 
ValueCountFrequency (%) 
121.5%
 
0.741935483910.8%
 
0.427419354810.8%
 
0.387096774210.8%
 
0.362903225810.8%
 

anonymousClassesQty_average
Real number (ℝ≥0)

ZEROS

Distinct101
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1790459251
Minimum0
Maximum1
Zeros11
Zeros (%)8.5%
Memory size1.0 KiB
2020-10-13T12:31:53.233991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.08281096643
median0.1274130375
Q30.2510303161
95-th percentile0.4467225806
Maximum1
Range1
Interquartile range (IQR)0.1682193497

Descriptive statistics

Standard deviation0.1602760551
Coefficient of variation (CV)0.8951672875
Kurtosis5.759928108
Mean0.1790459251
Median Absolute Deviation (MAD)0.08370520174
Skewness1.926825815
Sum23.27597027
Variance0.02568841385
MonotocityNot monotonic
2020-10-13T12:31:53.466688image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0118.5%
 
0.0924629261643.1%
 
0.0988084859143.1%
 
0.0828109664332.3%
 
0.193548387121.5%
 
0.13548387121.5%
 
0.114091680821.5%
 
0.250124069521.5%
 
0.0972376913721.5%
 
0.117175239821.5%
 
Other values (91)9673.8%
 
ValueCountFrequency (%) 
0118.5%
 
0.0133811230610.8%
 
0.0182398997810.8%
 
0.0200716845910.8%
 
0.0229795964910.8%
 
ValueCountFrequency (%) 
110.8%
 
0.753103448310.8%
 
0.633788955710.8%
 
0.602399360210.8%
 
0.558357771310.8%
 

anonymousClassesQty_stdev
Real number (ℝ≥0)

ZEROS

Distinct107
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09189999362
Minimum0
Maximum1
Zeros11
Zeros (%)8.5%
Memory size1.0 KiB
2020-10-13T12:31:53.703014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03272584802
median0.0646702187
Q30.103100195
95-th percentile0.2287125714
Maximum1
Range1
Interquartile range (IQR)0.07037434701

Descriptive statistics

Standard deviation0.1311198385
Coefficient of variation (CV)1.426766568
Kurtosis30.86554125
Mean0.09189999362
Median Absolute Deviation (MAD)0.03384211853
Skewness5.019010379
Sum11.94699917
Variance0.01719241205
MonotocityNot monotonic
2020-10-13T12:31:53.931232image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0118.5%
 
0.0787412757843.1%
 
0.0394437456943.1%
 
0.0370411729532.3%
 
0.218886217721.5%
 
0.0781263364921.5%
 
0.0578943226821.5%
 
0.10310019521.5%
 
0.173171465421.5%
 
0.0779412387810.8%
 
Other values (97)9774.6%
 
ValueCountFrequency (%) 
0118.5%
 
0.0101218206110.8%
 
0.0123966478810.8%
 
0.0138901227510.8%
 
0.0152209222210.8%
 
ValueCountFrequency (%) 
110.8%
 
0.94617883510.8%
 
0.391882707110.8%
 
0.369729009410.8%
 
0.350689186910.8%
 

anonymousClassesQty_max
Real number (ℝ≥0)

ZEROS

Distinct37
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05378959276
Minimum0
Maximum1
Zeros11
Zeros (%)8.5%
Memory size1.0 KiB
2020-10-13T12:31:54.143134image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.007352941176
median0.01715686275
Q30.06066176471
95-th percentile0.1414215686
Maximum1
Range1
Interquartile range (IQR)0.05330882353

Descriptive statistics

Standard deviation0.1134825697
Coefficient of variation (CV)2.109749562
Kurtosis39.7573279
Mean0.05378959276
Median Absolute Deviation (MAD)0.01470588235
Skewness5.600337419
Sum6.992647059
Variance0.01287829364
MonotocityNot monotonic
2020-10-13T12:31:54.355539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
0.0024509803921410.8%
 
0.017156862751310.0%
 
0.09803921569129.2%
 
0118.5%
 
0.0147058823596.9%
 
0.00980392156986.2%
 
0.00490196078475.4%
 
0.0245098039253.8%
 
0.0220588235343.1%
 
0.00735294117643.1%
 
Other values (27)4333.1%
 
ValueCountFrequency (%) 
0118.5%
 
0.0024509803921410.8%
 
0.00490196078475.4%
 
0.00735294117643.1%
 
0.00980392156986.2%
 
ValueCountFrequency (%) 
110.8%
 
0.44362745110.8%
 
0.433823529421.5%
 
0.348039215710.8%
 
0.164215686310.8%
 

protectedFieldsQty_average
Real number (ℝ≥0)

Distinct116
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1643586945
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:54.592980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03573852767
Q10.07784078062
median0.1572866505
Q30.2075907018
95-th percentile0.3922156966
Maximum1
Range1
Interquartile range (IQR)0.1297499212

Descriptive statistics

Standard deviation0.1319154922
Coefficient of variation (CV)0.8026073256
Kurtosis13.0757023
Mean0.1643586945
Median Absolute Deviation (MAD)0.07316828065
Skewness2.793542502
Sum21.36663028
Variance0.01740169708
MonotocityNot monotonic
2020-10-13T12:31:54.830191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.157820889343.1%
 
0.0795477057643.1%
 
0.079842337232.3%
 
0.229937847521.5%
 
0.161058796521.5%
 
0.144694533821.5%
 
0.207590701821.5%
 
0.208869536121.5%
 
0.158232961621.5%
 
0.15962988410.8%
 
Other values (106)10681.5%
 
ValueCountFrequency (%) 
010.8%
 
0.00619924791510.8%
 
0.0215226636210.8%
 
0.0219625631610.8%
 
0.0246899402810.8%
 
ValueCountFrequency (%) 
110.8%
 
0.635622416210.8%
 
0.55198285110.8%
 
0.511254019310.8%
 
0.449121770910.8%
 

protectedFieldsQty_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2018052354
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:55.064772image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04384923499
Q10.1094413749
median0.1929232355
Q30.2564439976
95-th percentile0.4085874734
Maximum1
Range1
Interquartile range (IQR)0.1470026227

Descriptive statistics

Standard deviation0.1351412341
Coefficient of variation (CV)0.6696616858
Kurtosis9.286347156
Mean0.2018052354
Median Absolute Deviation (MAD)0.07704650851
Skewness2.143488196
Sum26.2346806
Variance0.01826315317
MonotocityNot monotonic
2020-10-13T12:31:55.294319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.19859358943.1%
 
0.220218546843.1%
 
0.10955078832.3%
 
0.348245228921.5%
 
0.288415690921.5%
 
0.199605838221.5%
 
0.253534662621.5%
 
0.217536745221.5%
 
0.067130634110.8%
 
0.0650316503710.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.0163511349610.8%
 
0.0240450213610.8%
 
0.0247400478810.8%
 
0.0340866275910.8%
 
ValueCountFrequency (%) 
110.8%
 
0.652586322310.8%
 
0.594928442110.8%
 
0.450432031710.8%
 
0.448718913710.8%
 

protectedFieldsQty_median
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02478632479
Minimum0
Maximum1
Zeros112
Zeros (%)86.2%
Memory size1.0 KiB
2020-10-13T12:31:55.485107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.1111111111
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09833077571
Coefficient of variation (CV)3.967138192
Kurtosis75.99100464
Mean0.02478632479
Median Absolute Deviation (MAD)0
Skewness7.945123921
Sum3.222222222
Variance0.009668941452
MonotocityNot monotonic
2020-10-13T12:31:55.650716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
011286.2%
 
0.1111111111129.2%
 
0.222222222232.3%
 
0.166666666710.8%
 
0.0555555555610.8%
 
110.8%
 
ValueCountFrequency (%) 
011286.2%
 
0.0555555555610.8%
 
0.1111111111129.2%
 
0.166666666710.8%
 
0.222222222232.3%
 
ValueCountFrequency (%) 
110.8%
 
0.222222222232.3%
 
0.166666666710.8%
 
0.1111111111129.2%
 
0.0555555555610.8%
 

protectedFieldsQty_max
Real number (ℝ≥0)

Distinct50
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1236288375
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:55.852818image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.008968609865
Q10.03587443946
median0.08520179372
Q30.1928251121
95-th percentile0.2600896861
Maximum1
Range1
Interquartile range (IQR)0.1569506726

Descriptive statistics

Standard deviation0.1289052143
Coefficient of variation (CV)1.042679175
Kurtosis17.57290479
Mean0.1236288375
Median Absolute Deviation (MAD)0.06726457399
Skewness3.215879116
Sum16.07174888
Variance0.01661655427
MonotocityNot monotonic
2020-10-13T12:31:56.085592image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.237668161496.9%
 
0.0358744394664.6%
 
0.0493273542664.6%
 
0.026905829653.8%
 
0.00896860986553.8%
 
0.00448430493353.8%
 
0.0224215246653.8%
 
0.0582959641343.1%
 
0.013452914843.1%
 
0.233183856543.1%
 
Other values (40)7759.2%
 
ValueCountFrequency (%) 
010.8%
 
0.00448430493353.8%
 
0.00896860986553.8%
 
0.013452914843.1%
 
0.0179372197332.3%
 
ValueCountFrequency (%) 
110.8%
 
0.66816143510.8%
 
0.412556053821.5%
 
0.282511210810.8%
 
0.273542600910.8%
 

comparisonsQty_average
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1039941305
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:56.313670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.008227218589
Q10.04122181123
median0.06409195209
Q30.1326689634
95-th percentile0.2789364662
Maximum1
Range1
Interquartile range (IQR)0.09144715217

Descriptive statistics

Standard deviation0.1185080283
Coefficient of variation (CV)1.139564586
Kurtosis25.95400351
Mean0.1039941305
Median Absolute Deviation (MAD)0.04066021615
Skewness4.130766985
Sum13.51923696
Variance0.01404415276
MonotocityNot monotonic
2020-10-13T12:31:56.550958image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.109239074343.1%
 
0.0604961332943.1%
 
0.00331407092332.3%
 
0.0628899974821.5%
 
0.0606984490721.5%
 
0.0544510305521.5%
 
0.159763579821.5%
 
0.0825344761721.5%
 
0.222699751310.8%
 
0.100008628610.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.000212111323910.8%
 
0.00331407092332.3%
 
0.00427368393710.8%
 
0.00773732811510.8%
 
ValueCountFrequency (%) 
110.8%
 
0.543067386510.8%
 
0.38751981610.8%
 
0.382739473610.8%
 
0.343792861910.8%
 

comparisonsQty_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1097766459
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:56.781209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.006165835469
Q10.0494767469
median0.08223943716
Q30.1243934825
95-th percentile0.2659555925
Maximum1
Range1
Interquartile range (IQR)0.07491673563

Descriptive statistics

Standard deviation0.1233442799
Coefficient of variation (CV)1.123593082
Kurtosis22.44790009
Mean0.1097766459
Median Absolute Deviation (MAD)0.03860362563
Skewness3.914589004
Sum14.27096396
Variance0.01521381138
MonotocityNot monotonic
2020-10-13T12:31:57.008801image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.232282777943.1%
 
0.0839120541643.1%
 
0.00453579681832.3%
 
0.173575626421.5%
 
0.0840230771221.5%
 
0.0558440605821.5%
 
0.120739567321.5%
 
0.0697436978121.5%
 
0.0902114293810.8%
 
0.00819539480910.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.000214067336510.8%
 
0.00431899359410.8%
 
0.00453579681832.3%
 
0.00565778528710.8%
 
ValueCountFrequency (%) 
110.8%
 
0.603713204810.8%
 
0.490143066610.8%
 
0.376749113610.8%
 
0.373923785510.8%
 

comparisonsQty_median
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02637362637
Minimum0
Maximum1
Zeros116
Zeros (%)89.2%
Memory size1.0 KiB
2020-10-13T12:31:57.192416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.1428571429
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1100612008
Coefficient of variation (CV)4.173153865
Kurtosis50.11392946
Mean0.02637362637
Median Absolute Deviation (MAD)0
Skewness6.460941291
Sum3.428571429
Variance0.01211346793
MonotocityNot monotonic
2020-10-13T12:31:57.353472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
011689.2%
 
0.142857142953.8%
 
0.0714285714343.1%
 
0.428571428621.5%
 
0.285714285721.5%
 
110.8%
 
ValueCountFrequency (%) 
011689.2%
 
0.0714285714343.1%
 
0.142857142953.8%
 
0.285714285721.5%
 
0.428571428621.5%
 
ValueCountFrequency (%) 
110.8%
 
0.428571428621.5%
 
0.285714285721.5%
 
0.142857142953.8%
 
0.0714285714343.1%
 

comparisonsQty_max
Real number (ℝ≥0)

Distinct73
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2160590594
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:31:57.552441image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01161137441
Q10.03909952607
median0.1078199052
Q30.3317535545
95-th percentile0.7158767773
Maximum1
Range1
Interquartile range (IQR)0.2926540284

Descriptive statistics

Standard deviation0.2356383766
Coefficient of variation (CV)1.090620209
Kurtosis0.8024476426
Mean0.2160590594
Median Absolute Deviation (MAD)0.07701421801
Skewness1.311363042
Sum28.08767773
Variance0.05552544452
MonotocityNot monotonic
2020-10-13T12:31:57.792598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.504739336586.2%
 
0.52843601975.4%
 
0.030805687275.4%
 
0.035545023743.1%
 
0.0142180094843.1%
 
0.0781990521343.1%
 
0.0545023696743.1%
 
0.00473933649332.3%
 
0.0995260663532.3%
 
0.0331753554532.3%
 
Other values (63)8363.8%
 
ValueCountFrequency (%) 
010.8%
 
0.00473933649332.3%
 
0.00710900473910.8%
 
0.00947867298621.5%
 
0.0142180094843.1%
 
ValueCountFrequency (%) 
110.8%
 
0.857819905221.5%
 
0.83649289110.8%
 
0.80805687210.8%
 
0.760663507110.8%
 

modifiers_stdev
Real number (ℝ≥0)

ZEROS

Distinct114
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4511793999
Minimum0
Maximum1
Zeros4
Zeros (%)3.1%
Memory size1.0 KiB
2020-10-13T12:31:58.021634image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.007431295852
Q10.3350088798
median0.4503630094
Q30.5872688785
95-th percentile0.793866188
Maximum1
Range1
Interquartile range (IQR)0.2522599987

Descriptive statistics

Standard deviation0.2299104814
Coefficient of variation (CV)0.5095766374
Kurtosis-0.1331792159
Mean0.4511793999
Median Absolute Deviation (MAD)0.1248621857
Skewness-0.2515955841
Sum58.65332198
Variance0.05285882947
MonotocityNot monotonic
2020-10-13T12:31:58.254203image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
043.1%
 
0.56489480143.1%
 
0.754318321543.1%
 
0.79386618832.3%
 
0.496969711221.5%
 
0.56579104221.5%
 
0.456679464521.5%
 
0.368721300721.5%
 
0.544642045421.5%
 
0.63251000910.8%
 
Other values (104)10480.0%
 
ValueCountFrequency (%) 
043.1%
 
0.00153099613610.8%
 
0.00306597270710.8%
 
0.00727798320410.8%
 
0.00761867797710.8%
 
ValueCountFrequency (%) 
110.8%
 
0.973355098510.8%
 
0.866409085910.8%
 
0.860567170910.8%
 
0.838591118910.8%
 

modifiers_median
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1754273504
Minimum0
Maximum1
Zeros5
Zeros (%)3.8%
Memory size1.0 KiB
2020-10-13T12:31:58.441991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08055555556
Q10.1111111111
median0.1111111111
Q30.1111111111
95-th percentile0.5708333333
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1952896181
Coefficient of variation (CV)1.113222183
Kurtosis7.430540313
Mean0.1754273504
Median Absolute Deviation (MAD)0
Skewness2.780492712
Sum22.80555556
Variance0.03813803492
MonotocityNot monotonic
2020-10-13T12:31:58.606595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
0.111111111110681.5%
 
0.564.6%
 
053.8%
 
0.555555555643.1%
 
0.611111111121.5%
 
0.0555555555621.5%
 
0.944444444421.5%
 
121.5%
 
0.583333333310.8%
 
ValueCountFrequency (%) 
053.8%
 
0.0555555555621.5%
 
0.111111111110681.5%
 
0.564.6%
 
0.555555555643.1%
 
ValueCountFrequency (%) 
121.5%
 
0.944444444421.5%
 
0.611111111121.5%
 
0.583333333310.8%
 
0.555555555643.1%
 
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
119 
1
 
11
ValueCountFrequency (%) 
011991.5%
 
1118.5%
 

modifiers_max
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.449222506
Minimum0
Maximum1
Zeros5
Zeros (%)3.8%
Memory size1.0 KiB
2020-10-13T12:31:58.767642image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004125976562
Q10.5
median0.50390625
Q30.5043945312
95-th percentile0.5053710938
Maximum1
Range1
Interquartile range (IQR)0.00439453125

Descriptive statistics

Standard deviation0.1670082735
Coefficient of variation (CV)0.3717718307
Kurtosis4.022771388
Mean0.449222506
Median Absolute Deviation (MAD)0.00146484375
Skewness-1.916800309
Sum58.39892578
Variance0.02789176341
MonotocityNot monotonic
2020-10-13T12:31:58.932275image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
0.54030.8%
 
0.50439453123023.1%
 
0.50537109382015.4%
 
0.503906251813.8%
 
0.503417968864.6%
 
053.8%
 
0.0043945312532.3%
 
0.0122070312521.5%
 
0.0039062521.5%
 
0.0073242187510.8%
 
Other values (3)32.3%
 
ValueCountFrequency (%) 
053.8%
 
0.0039062521.5%
 
0.0043945312532.3%
 
0.0073242187510.8%
 
0.007812510.8%
 
ValueCountFrequency (%) 
110.8%
 
0.50537109382015.4%
 
0.50439453123023.1%
 
0.503906251813.8%
 
0.503417968864.6%
 

defaultFieldsQty_average
Real number (ℝ≥0)

ZEROS

Distinct90
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04474165576
Minimum0
Maximum1
Zeros27
Zeros (%)20.8%
Memory size1.0 KiB
2020-10-13T12:31:59.134209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0021687378
median0.01606262121
Q30.03747192751
95-th percentile0.1720488608
Maximum1
Range1
Interquartile range (IQR)0.03530318972

Descriptive statistics

Standard deviation0.1117614561
Coefficient of variation (CV)2.497928479
Kurtosis44.20138378
Mean0.04474165576
Median Absolute Deviation (MAD)0.01533213523
Skewness6.004581786
Sum5.816415249
Variance0.01249062307
MonotocityNot monotonic
2020-10-13T12:31:59.370797image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02720.8%
 
0.0222055866853.8%
 
0.0150192153643.1%
 
0.00122440044132.3%
 
0.0204021642521.5%
 
0.00427528423821.5%
 
0.011543910721.5%
 
0.0222008245921.5%
 
0.0565902578821.5%
 
0.0953099080110.8%
 
Other values (80)8061.5%
 
ValueCountFrequency (%) 
02720.8%
 
0.00122440044132.3%
 
0.00183811218410.8%
 
0.00215142867710.8%
 
0.00216613427310.8%
 
ValueCountFrequency (%) 
110.8%
 
0.478740572410.8%
 
0.423238063110.8%
 
0.407449856710.8%
 
0.218529760210.8%
 

defaultFieldsQty_max
Real number (ℝ≥0)

ZEROS

Distinct27
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0848806366
Minimum0
Maximum1
Zeros27
Zeros (%)20.8%
Memory size1.0 KiB
2020-10-13T12:31:59.589751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.008620689655
median0.03448275862
Q30.1120689655
95-th percentile0.2594827586
Maximum1
Range1
Interquartile range (IQR)0.1034482759

Descriptive statistics

Standard deviation0.124479678
Coefficient of variation (CV)1.466526206
Kurtosis21.90702897
Mean0.0848806366
Median Absolute Deviation (MAD)0.03448275862
Skewness3.647786216
Sum11.03448276
Variance0.01549519022
MonotocityNot monotonic
2020-10-13T12:31:59.787665image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
02720.8%
 
0.0086206896551310.0%
 
0.02586206897129.2%
 
0.03448275862107.7%
 
0.241379310396.9%
 
0.112068965575.4%
 
0.0603448275964.6%
 
0.0431034482864.6%
 
0.0172413793164.6%
 
0.0517241379343.1%
 
Other values (17)3023.1%
 
ValueCountFrequency (%) 
02720.8%
 
0.0086206896551310.0%
 
0.0172413793164.6%
 
0.02586206897129.2%
 
0.03448275862107.7%
 
ValueCountFrequency (%) 
110.8%
 
0.413793103410.8%
 
0.362068965510.8%
 
0.310344827621.5%
 
0.284482758610.8%
 

loopQty_average
Real number (ℝ≥0)

ZEROS

Distinct114
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07907335807
Minimum0
Maximum1
Zeros2
Zeros (%)1.5%
Memory size1.0 KiB
2020-10-13T12:32:00.012017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003285090742
Q10.02544500787
median0.03839595713
Q30.08528703521
95-th percentile0.259932805
Maximum1
Range1
Interquartile range (IQR)0.05984202734

Descriptive statistics

Standard deviation0.1336130816
Coefficient of variation (CV)1.68973577
Kurtosis25.39217837
Mean0.07907335807
Median Absolute Deviation (MAD)0.02305027288
Skewness4.62883102
Sum10.27953655
Variance0.01785245557
MonotocityNot monotonic
2020-10-13T12:32:00.242465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0579172396243.1%
 
0.0254450078743.1%
 
0.0191241590932.3%
 
0.0368331591221.5%
 
0.0123190902821.5%
 
0.112631682621.5%
 
0.0309206434621.5%
 
0.0300145390221.5%
 
0.0598355813721.5%
 
0.0255311362821.5%
 
Other values (104)10580.8%
 
ValueCountFrequency (%) 
021.5%
 
0.00061086398110.8%
 
0.00107122524210.8%
 
0.00114596188710.8%
 
0.00182505041210.8%
 
ValueCountFrequency (%) 
110.8%
 
0.825523979410.8%
 
0.564932140210.8%
 
0.432720986410.8%
 
0.376122098210.8%
 

loopQty_stdev
Real number (ℝ≥0)

ZEROS

Distinct116
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08267211315
Minimum0
Maximum1
Zeros2
Zeros (%)1.5%
Memory size1.0 KiB
2020-10-13T12:32:00.469745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.005434075932
Q10.02954559092
median0.04614576833
Q30.08781358377
95-th percentile0.1448110867
Maximum1
Range1
Interquartile range (IQR)0.05826799284

Descriptive statistics

Standard deviation0.1476795351
Coefficient of variation (CV)1.786328297
Kurtosis25.96453439
Mean0.08267211315
Median Absolute Deviation (MAD)0.02360438701
Skewness4.958105112
Sum10.74737471
Variance0.0218092451
MonotocityNot monotonic
2020-10-13T12:32:00.719653image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.10709542743.1%
 
0.0459684256143.1%
 
0.0279793476532.3%
 
021.5%
 
0.0473781291721.5%
 
0.0381923198121.5%
 
0.0504760742721.5%
 
0.0662416645921.5%
 
0.0460671620121.5%
 
0.0226152599810.8%
 
Other values (106)10681.5%
 
ValueCountFrequency (%) 
021.5%
 
0.00235543187310.8%
 
0.00312564545810.8%
 
0.00323284142510.8%
 
0.00407978003410.8%
 
ValueCountFrequency (%) 
110.8%
 
0.960340109910.8%
 
0.835495562610.8%
 
0.595489568610.8%
 
0.345712756410.8%
 

loopQty_median
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01826923077
Minimum0
Maximum1
Zeros124
Zeros (%)95.4%
Memory size1.0 KiB
2020-10-13T12:32:00.905108image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1033727948
Coefficient of variation (CV)5.658300347
Kurtosis65.71539169
Mean0.01826923077
Median Absolute Deviation (MAD)0
Skewness7.571524829
Sum2.375
Variance0.0106859347
MonotocityNot monotonic
2020-10-13T12:32:01.060151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
012495.4%
 
0.37521.5%
 
0.2521.5%
 
110.8%
 
0.12510.8%
 
ValueCountFrequency (%) 
012495.4%
 
0.12510.8%
 
0.2521.5%
 
0.37521.5%
 
110.8%
 
ValueCountFrequency (%) 
110.8%
 
0.37521.5%
 
0.2521.5%
 
0.12510.8%
 
012495.4%
 

loopQty_max
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06290815703
Minimum0
Maximum1
Zeros2
Zeros (%)1.5%
Memory size1.0 KiB
2020-10-13T12:32:01.258514image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001589825119
Q10.01311605723
median0.02623211447
Q30.076709062
95-th percentile0.1690779014
Maximum1
Range1
Interquartile range (IQR)0.06359300477

Descriptive statistics

Standard deviation0.1113577975
Coefficient of variation (CV)1.770164678
Kurtosis40.66920568
Mean0.06290815703
Median Absolute Deviation (MAD)0.01828298887
Skewness5.515770299
Sum8.178060413
Variance0.01240055906
MonotocityNot monotonic
2020-10-13T12:32:01.481085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.154213036696.9%
 
0.00158982511986.2%
 
0.0222575516786.2%
 
0.033386327564.6%
 
0.0922098569264.6%
 
0.0127186009553.8%
 
0.0174880763153.8%
 
0.00794912559643.1%
 
0.00476947535843.1%
 
0.0238473767943.1%
 
Other values (40)7154.6%
 
ValueCountFrequency (%) 
021.5%
 
0.00158982511986.2%
 
0.00317965023832.3%
 
0.00476947535843.1%
 
0.00635930047721.5%
 
ValueCountFrequency (%) 
110.8%
 
0.523052464210.8%
 
0.33386327510.8%
 
0.295707472210.8%
 
0.260731319610.8%
 

finalFieldsQty_average
Real number (ℝ≥0)

Distinct115
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2280977346
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:32:01.707828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06143707483
Q10.1188279369
median0.1708361158
Q30.2889221026
95-th percentile0.5459232614
Maximum1
Range1
Interquartile range (IQR)0.1700941657

Descriptive statistics

Standard deviation0.169172932
Coefficient of variation (CV)0.7416686198
Kurtosis4.825453202
Mean0.2280977346
Median Absolute Deviation (MAD)0.08096741426
Skewness1.892317671
Sum29.6527055
Variance0.02861948093
MonotocityNot monotonic
2020-10-13T12:32:01.941867image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.156142537143.1%
 
0.155156849543.1%
 
0.297619047632.3%
 
0.156315399732.3%
 
0.201404286821.5%
 
0.156994100821.5%
 
0.146323722921.5%
 
0.0865800865821.5%
 
0.22452421121.5%
 
0.240024002410.8%
 
Other values (105)10580.8%
 
ValueCountFrequency (%) 
010.8%
 
0.0148809523810.8%
 
0.015360983110.8%
 
0.0179211469510.8%
 
0.0266605023910.8%
 
ValueCountFrequency (%) 
110.8%
 
0.910186859610.8%
 
0.714285714310.8%
 
0.663265306110.8%
 
0.650793650810.8%
 

finalFieldsQty_stdev
Real number (ℝ≥0)

Distinct117
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08176106352
Minimum0
Maximum1
Zeros1
Zeros (%)0.8%
Memory size1.0 KiB
2020-10-13T12:32:02.176874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0154322695
Q10.03825859476
median0.05765585952
Q30.08447346234
95-th percentile0.1771685087
Maximum1
Range1
Interquartile range (IQR)0.04621486758

Descriptive statistics

Standard deviation0.113145984
Coefficient of variation (CV)1.383861451
Kurtosis41.38606455
Mean0.08176106352
Median Absolute Deviation (MAD)0.02252329117
Skewness5.892098145
Sum10.62893826
Variance0.0128020137
MonotocityNot monotonic
2020-10-13T12:32:02.407864image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0573771765243.1%
 
0.0844734623443.1%
 
0.0660328493732.3%
 
0.0567923375821.5%
 
0.0585623216621.5%
 
0.0700960285521.5%
 
0.0943329958721.5%
 
0.0576664980821.5%
 
0.0766992511410.8%
 
0.0607780579410.8%
 
Other values (107)10782.3%
 
ValueCountFrequency (%) 
010.8%
 
0.00791454643710.8%
 
0.00810312282610.8%
 
0.00959121993510.8%
 
0.0104749099310.8%
 
ValueCountFrequency (%) 
110.8%
 
0.726181756410.8%
 
0.405042622210.8%
 
0.268018584510.8%
 
0.236117446410.8%
 

finalFieldsQty_median
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05
Minimum0
Maximum1
Zeros118
Zeros (%)90.8%
Memory size1.0 KiB
2020-10-13T12:32:02.598438image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1658896617
Coefficient of variation (CV)3.317793233
Kurtosis12.22056896
Mean0.05
Median Absolute Deviation (MAD)0
Skewness3.472891871
Sum6.5
Variance0.02751937984
MonotocityNot monotonic
2020-10-13T12:32:02.758655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
011890.8%
 
0.596.9%
 
110.8%
 
0.2510.8%
 
0.7510.8%
 
ValueCountFrequency (%) 
011890.8%
 
0.2510.8%
 
0.596.9%
 
0.7510.8%
 
110.8%
 
ValueCountFrequency (%) 
110.8%
 
0.7510.8%
 
0.596.9%
 
0.2510.8%
 
011890.8%
 

maven_reuse
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270.2
Minimum0
Maximum4110
Zeros3
Zeros (%)2.3%
Memory size1.0 KiB
2020-10-13T12:32:02.953666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.45
Q136.25
median61
Q3398
95-th percentile1001.55
Maximum4110
Range4110
Interquartile range (IQR)361.75

Descriptive statistics

Standard deviation516.6207642
Coefficient of variation (CV)1.911993946
Kurtosis29.15095533
Mean270.2
Median Absolute Deviation (MAD)46
Skewness4.79528443
Sum35126
Variance266897.014
MonotocityNot monotonic
2020-10-13T12:32:03.953407image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2043.1%
 
5043.1%
 
4232.3%
 
3932.3%
 
1332.3%
 
4432.3%
 
032.3%
 
6021.5%
 
4921.5%
 
1121.5%
 
Other values (90)10177.7%
 
ValueCountFrequency (%) 
032.3%
 
310.8%
 
1121.5%
 
1210.8%
 
1332.3%
 
ValueCountFrequency (%) 
411010.8%
 
300310.8%
 
169410.8%
 
157210.8%
 
124910.8%